Overview

Dataset statistics

Number of variables436
Number of observations891221
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 GiB
Average record size in memory2.9 KiB

Variable types

NUM312
BOOL88
CAT36

Warnings

ANZ_HH_TITEL is highly skewed (γ1 = 24.0476022) Skewed
D19_TELKO_ONLINE_QUOTE_12 is highly skewed (γ1 = 33.81170314) Skewed
D19_VERSI_ONLINE_QUOTE_12 is highly skewed (γ1 = 23.53137374) Skewed
LNR has unique values Unique
ALTER_HH has 310267 (34.8%) zeros Zeros
ALTERSKATEGORIE_FEIN has 41188 (4.6%) zeros Zeros
ANZ_HH_TITEL has 867252 (97.3%) zeros Zeros
ANZ_KINDER has 804741 (90.3%) zeros Zeros
ANZ_PERSONEN has 34103 (3.8%) zeros Zeros
ANZ_TITEL has 888041 (99.6%) zeros Zeros
D19_BANKEN_ANZ_12 has 831734 (93.3%) zeros Zeros
D19_BANKEN_ANZ_24 has 794100 (89.1%) zeros Zeros
D19_BANKEN_DIREKT has 728811 (81.8%) zeros Zeros
D19_BANKEN_GROSS has 785351 (88.1%) zeros Zeros
D19_BANKEN_LOKAL has 874745 (98.2%) zeros Zeros
D19_BANKEN_ONLINE_QUOTE_12 has 845987 (94.9%) zeros Zeros
D19_BANKEN_REST has 821760 (92.2%) zeros Zeros
D19_BEKLEIDUNG_GEH has 809304 (90.8%) zeros Zeros
D19_BEKLEIDUNG_REST has 692502 (77.7%) zeros Zeros
D19_BILDUNG has 813156 (91.2%) zeros Zeros
D19_BIO_OEKO has 854074 (95.8%) zeros Zeros
D19_BUCH_CD has 622788 (69.9%) zeros Zeros
D19_DIGIT_SERV has 857661 (96.2%) zeros Zeros
D19_DROGERIEARTIKEL has 761014 (85.4%) zeros Zeros
D19_ENERGIE has 829857 (93.1%) zeros Zeros
D19_FREIZEIT has 790748 (88.7%) zeros Zeros
D19_GARTEN has 851626 (95.6%) zeros Zeros
D19_GESAMT_ANZ_12 has 584797 (65.6%) zeros Zeros
D19_GESAMT_ANZ_24 has 505303 (56.7%) zeros Zeros
D19_GESAMT_ONLINE_QUOTE_12 has 650188 (73.0%) zeros Zeros
D19_HANDWERK has 768381 (86.2%) zeros Zeros
D19_HAUS_DEKO has 713100 (80.0%) zeros Zeros
D19_KINDERARTIKEL has 749365 (84.1%) zeros Zeros
D19_KOSMETIK has 745836 (83.7%) zeros Zeros
D19_LEBENSMITTEL has 837914 (94.0%) zeros Zeros
D19_LOTTO has 747956 (83.9%) zeros Zeros
D19_NAHRUNGSERGAENZUNG has 852176 (95.6%) zeros Zeros
D19_RATGEBER has 805071 (90.3%) zeros Zeros
D19_REISEN has 736924 (82.7%) zeros Zeros
D19_SAMMELARTIKEL has 802085 (90.0%) zeros Zeros
D19_SCHUHE has 773024 (86.7%) zeros Zeros
D19_SONSTIGE has 505953 (56.8%) zeros Zeros
D19_SOZIALES has 762941 (85.6%) zeros Zeros
D19_TECHNIK has 630101 (70.7%) zeros Zeros
D19_TELKO_ANZ_12 has 857990 (96.3%) zeros Zeros
D19_TELKO_ANZ_24 has 826208 (92.7%) zeros Zeros
D19_TELKO_MOBILE has 726804 (81.6%) zeros Zeros
D19_TELKO_ONLINE_QUOTE_12 has 890433 (99.9%) zeros Zeros
D19_TELKO_REST has 765973 (85.9%) zeros Zeros
D19_TIERARTIKEL has 852220 (95.6%) zeros Zeros
D19_VERSAND_ANZ_12 has 637972 (71.6%) zeros Zeros
D19_VERSAND_ANZ_24 has 563818 (63.3%) zeros Zeros
D19_VERSAND_ONLINE_QUOTE_12 has 674480 (75.7%) zeros Zeros
D19_VERSAND_REST has 734442 (82.4%) zeros Zeros
D19_VERSI_ANZ_12 has 821289 (92.2%) zeros Zeros
D19_VERSI_ANZ_24 has 777037 (87.2%) zeros Zeros
D19_VERSI_ONLINE_QUOTE_12 has 889575 (99.8%) zeros Zeros
D19_VERSICHERUNGEN has 654664 (73.5%) zeros Zeros
D19_VOLLSORTIMENT has 600002 (67.3%) zeros Zeros
D19_WEIN_FEINKOST has 836142 (93.8%) zeros Zeros
GEBURTSJAHR has 392318 (44.0%) zeros Zeros
KBA05_ALTER1 has 102789 (11.5%) zeros Zeros
KBA05_ALTER4 has 50127 (5.6%) zeros Zeros
KBA05_ANTG1 has 394373 (44.3%) zeros Zeros
KBA05_ANTG2 has 425862 (47.8%) zeros Zeros
KBA05_CCM4 has 422174 (47.4%) zeros Zeros
KBA05_DIESEL has 64600 (7.2%) zeros Zeros
KBA05_HERST1 has 75567 (8.5%) zeros Zeros
KBA05_HERST3 has 16789 (1.9%) zeros Zeros
KBA05_HERST4 has 30739 (3.4%) zeros Zeros
KBA05_HERST5 has 47295 (5.3%) zeros Zeros
KBA05_KW3 has 206843 (23.2%) zeros Zeros
KBA05_MOD1 has 434197 (48.7%) zeros Zeros
KBA05_MOD4 has 50590 (5.7%) zeros Zeros
KBA05_SEG10 has 111769 (12.5%) zeros Zeros
KBA05_SEG5 has 182816 (20.5%) zeros Zeros
KBA05_VORB2 has 54357 (6.1%) zeros Zeros
KBA05_ZUL3 has 71287 (8.0%) zeros Zeros
KBA05_ZUL4 has 105584 (11.8%) zeros Zeros
KBA13_ANTG2 has 10772 (1.2%) zeros Zeros
KBA13_BJ_2008 has 134372 (15.1%) zeros Zeros
KBA13_BJ_2009 has 101115 (11.3%) zeros Zeros
KBA13_CCM_0_1400 has 138711 (15.6%) zeros Zeros
KBA13_CCM_1000 has 103227 (11.6%) zeros Zeros
KBA13_CCM_1200 has 145802 (16.4%) zeros Zeros
KBA13_CCM_1800 has 137534 (15.4%) zeros Zeros
KBA13_CCM_2500 has 95350 (10.7%) zeros Zeros
KBA13_CCM_2501 has 93403 (10.5%) zeros Zeros
KBA13_CCM_3000 has 56562 (6.3%) zeros Zeros
KBA13_KMH_0_140 has 96010 (10.8%) zeros Zeros
KBA13_KMH_211 has 139463 (15.6%) zeros Zeros
KBA13_KMH_250 has 139756 (15.7%) zeros Zeros
KBA13_KW_110 has 124216 (13.9%) zeros Zeros
KBA13_KW_120 has 85028 (9.5%) zeros Zeros
KBA13_KW_121 has 95195 (10.7%) zeros Zeros
KBA13_KW_40 has 99260 (11.1%) zeros Zeros
KBA13_KW_50 has 143215 (16.1%) zeros Zeros
KBA13_KW_60 has 132144 (14.8%) zeros Zeros
KBA13_KW_70 has 141548 (15.9%) zeros Zeros
KBA13_KW_80 has 129268 (14.5%) zeros Zeros
KBA13_KW_90 has 133326 (15.0%) zeros Zeros
KBA13_SEG_OBERKLASSE has 86270 (9.7%) zeros Zeros
KBA13_SEG_SPORTWAGEN has 83421 (9.4%) zeros Zeros
KBA13_SEG_WOHNMOBILE has 85796 (9.6%) zeros Zeros
KBA13_VORB_3 has 143284 (16.1%) zeros Zeros
LP_FAMILIE_FEIN has 72938 (8.2%) zeros Zeros
LP_FAMILIE_GROB has 72938 (8.2%) zeros Zeros
LP_LEBENSPHASE_FEIN has 97632 (11.0%) zeros Zeros
LP_LEBENSPHASE_GROB has 89718 (10.1%) zeros Zeros
ONLINE_AFFINITAET has 65716 (7.4%) zeros Zeros
RT_UEBERGROESSE has 24758 (2.8%) zeros Zeros
VERDICHTUNGSRAUM has 466056 (52.3%) zeros Zeros
VHA has 739046 (82.9%) zeros Zeros
VHN has 36868 (4.1%) zeros Zeros

Reproduction

Analysis started2020-12-02 03:19:50.614310
Analysis finished2020-12-02 03:21:30.232963
Duration1 minute and 39.62 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

LNR
Real number (ℝ≥0)

UNIQUE

Distinct891221
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean637263
Minimum191653
Maximum1082873
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:31.059892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum191653
5-th percentile236214
Q1414458
median637263
Q3860068
95-th percentile1038312
Maximum1082873
Range891220
Interquartile range (IQR)445610

Descriptive statistics

Standard deviation257273.4865
Coefficient of variation (CV)0.4037163408
Kurtosis-1.2
Mean637263
Median Absolute Deviation (MAD)222805
Skewness-1.551882184e-18
Sum5.679421681e+11
Variance6.618964684e+10
MonotocityNot monotonic
2020-12-02T12:21:31.525879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1924181< 0.1%
 
6114551< 0.1%
 
9821541< 0.1%
 
9760091< 0.1%
 
9780561< 0.1%
 
9555271< 0.1%
 
9575741< 0.1%
 
9514291< 0.1%
 
9534761< 0.1%
 
9637151< 0.1%
 
9657621< 0.1%
 
9596171< 0.1%
 
9616641< 0.1%
 
6135021< 0.1%
 
10210951< 0.1%
 
6073571< 0.1%
 
6094041< 0.1%
 
6196431< 0.1%
 
6216901< 0.1%
 
6155451< 0.1%
 
6175921< 0.1%
 
5950631< 0.1%
 
5971101< 0.1%
 
5909651< 0.1%
 
5930121< 0.1%
 
Other values (891196)891196> 99.9%
 
ValueCountFrequency (%) 
1916531< 0.1%
 
1916541< 0.1%
 
1916551< 0.1%
 
1916561< 0.1%
 
1916571< 0.1%
 
1916581< 0.1%
 
1916591< 0.1%
 
1916601< 0.1%
 
1916611< 0.1%
 
1916621< 0.1%
 
ValueCountFrequency (%) 
10828731< 0.1%
 
10828721< 0.1%
 
10828711< 0.1%
 
10828701< 0.1%
 
10828691< 0.1%
 
10828681< 0.1%
 
10828671< 0.1%
 
10828661< 0.1%
 
10828651< 0.1%
 
10828641< 0.1%
 

AKT_DAT_KL
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.139721797
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:31.824041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.610398178
Coefficient of variation (CV)0.8721354609
Kurtosis-1.665399501
Mean4.139721797
Median Absolute Deviation (MAD)0
Skewness0.4346755041
Sum3689407
Variance13.034975
MonotocityNot monotonic
2020-12-02T12:21:31.987136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
146375752.0%
 
927066330.4%
 
5292033.3%
 
6276553.1%
 
3248802.8%
 
4214662.4%
 
7210262.4%
 
8174852.0%
 
2150861.7%
 
ValueCountFrequency (%) 
146375752.0%
 
2150861.7%
 
3248802.8%
 
4214662.4%
 
5292033.3%
 
6276553.1%
 
7210262.4%
 
8174852.0%
 
927066330.4%
 
ValueCountFrequency (%) 
927066330.4%
 
8174852.0%
 
7210262.4%
 
6276553.1%
 
5292033.3%
 
4214662.4%
 
3248802.8%
 
2150861.7%
 
146375752.0%
 

ALTER_HH
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.968161657
Minimum0
Maximum21
Zeros310267
Zeros (%)34.8%
Memory size6.8 MiB
2020-12-02T12:21:32.168828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q317
95-th percentile20
Maximum21
Range21
Interquartile range (IQR)17

Descriptive statistics

Standard deviation7.904589968
Coefficient of variation (CV)0.7929837256
Kurtosis-1.576149615
Mean9.968161657
Median Absolute Deviation (MAD)7
Skewness-0.2253693792
Sum8883835
Variance62.48254257
MonotocityNot monotonic
2020-12-02T12:21:32.345747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
031026734.8%
 
18608526.8%
 
17556656.2%
 
19528905.9%
 
15518675.8%
 
16518575.8%
 
14442755.0%
 
21416104.7%
 
20406714.6%
 
13376124.2%
 
12349233.9%
 
10304193.4%
 
11279243.1%
 
9228172.6%
 
8134631.5%
 
784190.9%
 
638090.4%
 
510300.1%
 
46030.1%
 
3200< 0.1%
 
247< 0.1%
 
11< 0.1%
 
ValueCountFrequency (%) 
031026734.8%
 
11< 0.1%
 
247< 0.1%
 
3200< 0.1%
 
46030.1%
 
510300.1%
 
638090.4%
 
784190.9%
 
8134631.5%
 
9228172.6%
 
ValueCountFrequency (%) 
21416104.7%
 
20406714.6%
 
19528905.9%
 
18608526.8%
 
17556656.2%
 
16518575.8%
 
15518675.8%
 
14442755.0%
 
13376124.2%
 
12349233.9%
 

ALTERSKATEGORIE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.08405884
Minimum0
Maximum25
Zeros41188
Zeros (%)4.6%
Memory size6.8 MiB
2020-12-02T12:21:32.502127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median15
Q316
95-th percentile20
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.306097833
Coefficient of variation (CV)0.3057426757
Kurtosis3.2116442
Mean14.08405884
Median Absolute Deviation (MAD)2
Skewness-1.471682044
Sum12552009
Variance18.54247855
MonotocityNot monotonic
2020-12-02T12:21:32.668103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
1532643336.6%
 
14597096.7%
 
16533846.0%
 
18513655.8%
 
17500115.6%
 
13495565.6%
 
12429514.8%
 
19423404.8%
 
0411884.6%
 
10349033.9%
 
11330613.7%
 
20278333.1%
 
9262042.9%
 
8145161.6%
 
21136581.5%
 
785781.0%
 
637540.4%
 
2236690.4%
 
2328380.3%
 
2423400.3%
 
2510170.1%
 
59940.1%
 
46360.1%
 
3218< 0.1%
 
264< 0.1%
 
ValueCountFrequency (%) 
0411884.6%
 
11< 0.1%
 
264< 0.1%
 
3218< 0.1%
 
46360.1%
 
59940.1%
 
637540.4%
 
785781.0%
 
8145161.6%
 
9262042.9%
 
ValueCountFrequency (%) 
2510170.1%
 
2423400.3%
 
2328380.3%
 
2236690.4%
 
21136581.5%
 
20278333.1%
 
19423404.8%
 
18513655.8%
 
17500115.6%
 
16533846.0%
 

ANZ_HAUSHALTE_AKTIV
Real number (ℝ≥0)

Distinct292
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.525618225
Minimum0
Maximum595
Zeros6463
Zeros (%)0.7%
Memory size6.8 MiB
2020-12-02T12:21:32.892851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q39
95-th percentile26
Maximum595
Range595
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.95594483
Coefficient of variation (CV)1.987337702
Kurtosis154.313874
Mean7.525618225
Median Absolute Deviation (MAD)2
Skewness9.111493471
Sum6706989
Variance223.6802858
MonotocityNot monotonic
2020-12-02T12:21:33.127817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
128910532.4%
 
212098213.6%
 
3625757.0%
 
4432134.8%
 
5378154.2%
 
6360204.0%
 
7345263.9%
 
8322933.6%
 
9290023.3%
 
10254282.9%
 
11219652.5%
 
12180332.0%
 
13152821.7%
 
14126251.4%
 
15103711.2%
 
1688991.0%
 
1772920.8%
 
064630.7%
 
1863240.7%
 
1954610.6%
 
2046740.5%
 
2141380.5%
 
2237350.4%
 
2332430.4%
 
2428380.3%
 
Other values (267)489195.5%
 
ValueCountFrequency (%) 
064630.7%
 
128910532.4%
 
212098213.6%
 
3625757.0%
 
4432134.8%
 
5378154.2%
 
6360204.0%
 
7345263.9%
 
8322933.6%
 
9290023.3%
 
ValueCountFrequency (%) 
5958< 0.1%
 
5361< 0.1%
 
5234< 0.1%
 
5154< 0.1%
 
4457< 0.1%
 
4389< 0.1%
 
4306< 0.1%
 
4143< 0.1%
 
4042< 0.1%
 
3953< 0.1%
 

ANZ_HH_TITEL
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03622221649
Minimum0
Maximum23
Zeros867252
Zeros (%)97.3%
Memory size6.8 MiB
2020-12-02T12:21:33.335328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3061473693
Coefficient of variation (CV)8.451922576
Kurtosis1002.502504
Mean0.03622221649
Median Absolute Deviation (MAD)0
Skewness24.0476022
Sum32282
Variance0.09372621172
MonotocityNot monotonic
2020-12-02T12:21:33.548811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
086725297.3%
 
1201572.3%
 
224590.3%
 
35850.1%
 
4232< 0.1%
 
5117< 0.1%
 
6106< 0.1%
 
868< 0.1%
 
765< 0.1%
 
934< 0.1%
 
1329< 0.1%
 
1222< 0.1%
 
1122< 0.1%
 
1416< 0.1%
 
1016< 0.1%
 
1713< 0.1%
 
209< 0.1%
 
157< 0.1%
 
186< 0.1%
 
163< 0.1%
 
233< 0.1%
 
ValueCountFrequency (%) 
086725297.3%
 
1201572.3%
 
224590.3%
 
35850.1%
 
4232< 0.1%
 
5117< 0.1%
 
6106< 0.1%
 
765< 0.1%
 
868< 0.1%
 
934< 0.1%
 
ValueCountFrequency (%) 
233< 0.1%
 
209< 0.1%
 
186< 0.1%
 
1713< 0.1%
 
163< 0.1%
 
157< 0.1%
 
1416< 0.1%
 
1329< 0.1%
 
1222< 0.1%
 
1122< 0.1%
 

ANZ_KINDER
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1413162392
Minimum0
Maximum11
Zeros804741
Zeros (%)90.3%
Memory size6.8 MiB
2020-12-02T12:21:33.747055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4830885543
Coefficient of variation (CV)3.418492857
Kurtosis20.38537189
Mean0.1413162392
Median Absolute Deviation (MAD)0
Skewness4.124157189
Sum125944
Variance0.2333745513
MonotocityNot monotonic
2020-12-02T12:21:34.064879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
080474190.3%
 
1553506.2%
 
2244452.7%
 
353760.6%
 
410570.1%
 
5190< 0.1%
 
647< 0.1%
 
710< 0.1%
 
93< 0.1%
 
111< 0.1%
 
81< 0.1%
 
ValueCountFrequency (%) 
080474190.3%
 
1553506.2%
 
2244452.7%
 
353760.6%
 
410570.1%
 
5190< 0.1%
 
647< 0.1%
 
710< 0.1%
 
81< 0.1%
 
93< 0.1%
 
ValueCountFrequency (%) 
111< 0.1%
 
93< 0.1%
 
81< 0.1%
 
710< 0.1%
 
647< 0.1%
 
5190< 0.1%
 
410570.1%
 
353760.6%
 
2244452.7%
 
1553506.2%
 

ANZ_PERSONEN
Real number (ℝ≥0)

ZEROS

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.667629017
Minimum0
Maximum45
Zeros34103
Zeros (%)3.8%
Memory size6.8 MiB
2020-12-02T12:21:34.287417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum45
Range45
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.125109749
Coefficient of variation (CV)0.6746762845
Kurtosis15.25783916
Mean1.667629017
Median Absolute Deviation (MAD)0
Skewness2.003379077
Sum1486226
Variance1.265871947
MonotocityNot monotonic
2020-12-02T12:21:34.493894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
149688255.8%
 
219547021.9%
 
39490510.6%
 
4471265.3%
 
0341033.8%
 
5155031.7%
 
648420.5%
 
715250.2%
 
85230.1%
 
9180< 0.1%
 
1067< 0.1%
 
1138< 0.1%
 
1216< 0.1%
 
1311< 0.1%
 
214< 0.1%
 
144< 0.1%
 
203< 0.1%
 
153< 0.1%
 
382< 0.1%
 
232< 0.1%
 
372< 0.1%
 
222< 0.1%
 
351< 0.1%
 
171< 0.1%
 
161< 0.1%
 
Other values (5)5< 0.1%
 
ValueCountFrequency (%) 
0341033.8%
 
149688255.8%
 
219547021.9%
 
39490510.6%
 
4471265.3%
 
5155031.7%
 
648420.5%
 
715250.2%
 
85230.1%
 
9180< 0.1%
 
ValueCountFrequency (%) 
451< 0.1%
 
401< 0.1%
 
382< 0.1%
 
372< 0.1%
 
351< 0.1%
 
311< 0.1%
 
291< 0.1%
 
232< 0.1%
 
222< 0.1%
 
214< 0.1%
 

ANZ_STATISTISCHE_HAUSHALTE
Real number (ℝ≥0)

Distinct268
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.909609401
Minimum0
Maximum449
Zeros43
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-12-02T12:21:34.790203image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q38
95-th percentile24
Maximum449
Range449
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.71200233
Coefficient of variation (CV)1.984482991
Kurtosis137.5954812
Mean6.909609401
Median Absolute Deviation (MAD)2
Skewness8.845563558
Sum6157989
Variance188.019008
MonotocityNot monotonic
2020-12-02T12:21:35.019640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
131226735.0%
 
212148513.6%
 
3614786.9%
 
4448645.0%
 
5401334.5%
 
6384664.3%
 
7365894.1%
 
8328163.7%
 
9285003.2%
 
10241002.7%
 
11194612.2%
 
12162961.8%
 
13130401.5%
 
14106161.2%
 
1589391.0%
 
1673140.8%
 
1761360.7%
 
1852200.6%
 
1944650.5%
 
2038400.4%
 
2134330.4%
 
2232210.4%
 
2326330.3%
 
2424850.3%
 
2523840.3%
 
Other values (243)410404.6%
 
ValueCountFrequency (%) 
043< 0.1%
 
131226735.0%
 
212148513.6%
 
3614786.9%
 
4448645.0%
 
5401334.5%
 
6384664.3%
 
7365894.1%
 
8328163.7%
 
9285003.2%
 
ValueCountFrequency (%) 
4493< 0.1%
 
4457< 0.1%
 
3756< 0.1%
 
3713< 0.1%
 
3699< 0.1%
 
3679< 0.1%
 
3667< 0.1%
 
3659< 0.1%
 
3549< 0.1%
 
3538< 0.1%
 

ANZ_TITEL
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003818357063
Minimum0
Maximum6
Zeros888041
Zeros (%)99.6%
Memory size6.8 MiB
2020-12-02T12:21:35.211219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06596472916
Coefficient of variation (CV)17.27568378
Kurtosis491.1191664
Mean0.003818357063
Median Absolute Deviation (MAD)0
Skewness19.62592135
Sum3403
Variance0.004351345494
MonotocityNot monotonic
2020-12-02T12:21:35.335246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
088804199.6%
 
129700.3%
 
2202< 0.1%
 
35< 0.1%
 
42< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
088804199.6%
 
129700.3%
 
2202< 0.1%
 
35< 0.1%
 
42< 0.1%
 
61< 0.1%
 
ValueCountFrequency (%) 
61< 0.1%
 
42< 0.1%
 
35< 0.1%
 
2202< 0.1%
 
129700.3%
 
088804199.6%
 

ARBEIT
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.258626087
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:35.469068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9810469668
Coefficient of variation (CV)0.3010615335
Kurtosis-0.04710848937
Mean3.258626087
Median Absolute Deviation (MAD)1
Skewness-0.6501633499
Sum2904156
Variance0.9624531511
MonotocityNot monotonic
2020-12-02T12:21:35.611899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
440855545.8%
 
325498828.6%
 
213566215.2%
 
1567676.4%
 
5350903.9%
 
9159< 0.1%
 
ValueCountFrequency (%) 
1567676.4%
 
213566215.2%
 
325498828.6%
 
440855545.8%
 
5350903.9%
 
9159< 0.1%
 
ValueCountFrequency (%) 
9159< 0.1%
 
5350903.9%
 
440855545.8%
 
325498828.6%
 
213566215.2%
 
1567676.4%
 

BALLRAUM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.347308917
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:35.729782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.141980958
Coefficient of variation (CV)0.4927142283
Kurtosis-1.401640526
Mean4.347308917
Median Absolute Deviation (MAD)1
Skewness-0.4325155423
Sum3874413
Variance4.588082424
MonotocityNot monotonic
2020-12-02T12:21:35.882582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
634883339.1%
 
115178217.0%
 
210452111.7%
 
79903911.1%
 
3732778.2%
 
4613586.9%
 
5524115.9%
 
ValueCountFrequency (%) 
115178217.0%
 
210452111.7%
 
3732778.2%
 
4613586.9%
 
5524115.9%
 
634883339.1%
 
79903911.1%
 
ValueCountFrequency (%) 
79903911.1%
 
634883339.1%
 
5524115.9%
 
4613586.9%
 
3732778.2%
 
210452111.7%
 
115178217.0%
 

CAMEO_DEUG_2015
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.812162191
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:36.006617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.471583527
Coefficient of variation (CV)0.4252433855
Kurtosis-1.188303024
Mean5.812162191
Median Absolute Deviation (MAD)2
Skewness-0.3819963821
Sum5179921
Variance6.108725131
MonotocityNot monotonic
2020-12-02T12:21:36.123728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
823379326.2%
 
910817712.1%
 
610587411.9%
 
410391211.7%
 
3867799.7%
 
2832319.3%
 
7779338.7%
 
5553106.2%
 
1362124.1%
 
ValueCountFrequency (%) 
1362124.1%
 
2832319.3%
 
3867799.7%
 
410391211.7%
 
5553106.2%
 
610587411.9%
 
7779338.7%
 
823379326.2%
 
910817712.1%
 
ValueCountFrequency (%) 
910817712.1%
 
823379326.2%
 
7779338.7%
 
610587411.9%
 
5553106.2%
 
410391211.7%
 
3867799.7%
 
2832319.3%
 
1362124.1%
 

CAMEO_INTL_2015
Real number (ℝ≥0)

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.22259462
Minimum12
Maximum55
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:36.291132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile14
Q124
median41
Q351
95-th percentile54
Maximum55
Range43
Interquartile range (IQR)27

Descriptive statistics

Standard deviation14.0969761
Coefficient of variation (CV)0.378720942
Kurtosis-1.323128488
Mean37.22259462
Median Absolute Deviation (MAD)10
Skewness-0.3956278579
Sum33173558
Variance198.7247351
MonotocityNot monotonic
2020-12-02T12:21:36.421806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
5123304626.1%
 
419233610.4%
 
249115810.2%
 
14628847.1%
 
43566726.4%
 
54453915.1%
 
25396284.4%
 
22331553.7%
 
23267503.0%
 
13263363.0%
 
45261322.9%
 
55239552.7%
 
52205422.3%
 
31190242.1%
 
34185242.1%
 
15169741.9%
 
44148201.7%
 
12132491.5%
 
35103561.2%
 
32103541.2%
 
3399351.1%
 
ValueCountFrequency (%) 
12132491.5%
 
13263363.0%
 
14628847.1%
 
15169741.9%
 
22331553.7%
 
23267503.0%
 
249115810.2%
 
25396284.4%
 
31190242.1%
 
32103541.2%
 
ValueCountFrequency (%) 
55239552.7%
 
54453915.1%
 
52205422.3%
 
5123304626.1%
 
45261322.9%
 
44148201.7%
 
43566726.4%
 
419233610.4%
 
35103561.2%
 
34185242.1%
 

CJT_GESAMTTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.634838048
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:36.537933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.590901065
Coefficient of variation (CV)0.4376814162
Kurtosis-1.058949879
Mean3.634838048
Median Absolute Deviation (MAD)1
Skewness-0.04267812323
Sum3239444
Variance2.530966197
MonotocityNot monotonic
2020-12-02T12:21:36.645139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
421581724.2%
 
315644917.6%
 
615391517.3%
 
214879516.7%
 
511737613.2%
 
19886911.1%
 
ValueCountFrequency (%) 
19886911.1%
 
214879516.7%
 
315644917.6%
 
421581724.2%
 
511737613.2%
 
615391517.3%
 
ValueCountFrequency (%) 
615391517.3%
 
511737613.2%
 
421581724.2%
 
315644917.6%
 
214879516.7%
 
19886911.1%
 

CJT_KATALOGNUTZER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.34433098
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:36.749224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.494590693
Coefficient of variation (CV)0.4469027445
Kurtosis-1.29296428
Mean3.34433098
Median Absolute Deviation (MAD)1
Skewness-0.3598154818
Sum2980538
Variance2.23380134
MonotocityNot monotonic
2020-12-02T12:21:36.849280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
528665832.2%
 
417427519.6%
 
116742618.8%
 
315699817.6%
 
210586411.9%
 
ValueCountFrequency (%) 
116742618.8%
 
210586411.9%
 
315699817.6%
 
417427519.6%
 
528665832.2%
 
ValueCountFrequency (%) 
528665832.2%
 
417427519.6%
 
315699817.6%
 
210586411.9%
 
116742618.8%
 

CJT_TYP_1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.376973837
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:37.000793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.369875263
Coefficient of variation (CV)0.4056517252
Kurtosis-1.273191302
Mean3.376973837
Median Absolute Deviation (MAD)1
Skewness-0.215819131
Sum3009630
Variance1.876558236
MonotocityNot monotonic
2020-12-02T12:21:37.126998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
527234230.6%
 
219654522.1%
 
317183819.3%
 
416294018.3%
 
1875569.8%
 
ValueCountFrequency (%) 
1875569.8%
 
219654522.1%
 
317183819.3%
 
416294018.3%
 
527234230.6%
 
ValueCountFrequency (%) 
527234230.6%
 
416294018.3%
 
317183819.3%
 
219654522.1%
 
1875569.8%
 

CJT_TYP_2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.204844814
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:37.245699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.403860134
Coefficient of variation (CV)0.4380430929
Kurtosis-1.318783148
Mean3.204844814
Median Absolute Deviation (MAD)1
Skewness-0.08097362094
Sum2856225
Variance1.970823277
MonotocityNot monotonic
2020-12-02T12:21:37.366649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
523815626.7%
 
220542523.0%
 
317391019.5%
 
415304517.2%
 
112068513.5%
 
ValueCountFrequency (%) 
112068513.5%
 
220542523.0%
 
317391019.5%
 
415304517.2%
 
523815626.7%
 
ValueCountFrequency (%) 
523815626.7%
 
415304517.2%
 
317391019.5%
 
220542523.0%
 
112068513.5%
 

CJT_TYP_3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.360269787
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:37.495176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.39797618
Coefficient of variation (CV)0.4160309345
Kurtosis-1.278096796
Mean3.360269787
Median Absolute Deviation (MAD)1
Skewness-0.2364956977
Sum2994743
Variance1.954337399
MonotocityNot monotonic
2020-12-02T12:21:37.603258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
527499730.9%
 
218180320.4%
 
317016219.1%
 
416046918.0%
 
110379011.6%
 
ValueCountFrequency (%) 
110379011.6%
 
218180320.4%
 
317016219.1%
 
416046918.0%
 
527499730.9%
 
ValueCountFrequency (%) 
527499730.9%
 
416046918.0%
 
317016219.1%
 
218180320.4%
 
110379011.6%
 

CJT_TYP_4
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.345212916
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:37.708045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.374797458
Coefficient of variation (CV)0.4109745756
Kurtosis-1.237335452
Mean3.345212916
Median Absolute Deviation (MAD)1
Skewness-0.2240942258
Sum2981324
Variance1.890068052
MonotocityNot monotonic
2020-12-02T12:21:37.803978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
525961729.1%
 
318097520.3%
 
218031220.2%
 
416979119.1%
 
110052611.3%
 
ValueCountFrequency (%) 
110052611.3%
 
218031220.2%
 
318097520.3%
 
416979119.1%
 
525961729.1%
 
ValueCountFrequency (%) 
525961729.1%
 
416979119.1%
 
318097520.3%
 
218031220.2%
 
110052611.3%
 

CJT_TYP_5
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.369612027
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:37.921966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.380513861
Coefficient of variation (CV)0.4096951963
Kurtosis-1.243249763
Mean3.369612027
Median Absolute Deviation (MAD)1
Skewness-0.2251683102
Sum3003069
Variance1.905818519
MonotocityNot monotonic
2020-12-02T12:21:38.036971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
527652731.0%
 
319463621.8%
 
217480819.6%
 
414722016.5%
 
19803011.0%
 
ValueCountFrequency (%) 
19803011.0%
 
217480819.6%
 
319463621.8%
 
414722016.5%
 
527652731.0%
 
ValueCountFrequency (%) 
527652731.0%
 
414722016.5%
 
319463621.8%
 
217480819.6%
 
19803011.0%
 

CJT_TYP_6
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.474334649
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:38.148503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.329635128
Coefficient of variation (CV)0.3827020889
Kurtosis-1.148799305
Mean3.474334649
Median Absolute Deviation (MAD)1
Skewness-0.3346193269
Sum3096400
Variance1.767929572
MonotocityNot monotonic
2020-12-02T12:21:38.257465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
527706231.1%
 
419343021.7%
 
217517919.7%
 
317073119.2%
 
1748198.4%
 
ValueCountFrequency (%) 
1748198.4%
 
217517919.7%
 
317073119.2%
 
419343021.7%
 
527706231.1%
 
ValueCountFrequency (%) 
527706231.1%
 
419343021.7%
 
317073119.2%
 
217517919.7%
 
1748198.4%
 

D19_BANKEN_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1223355374
Minimum0
Maximum6
Zeros831734
Zeros (%)93.3%
Memory size6.8 MiB
2020-12-02T12:21:38.362644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.535949819
Coefficient of variation (CV)4.380982258
Kurtosis35.68955582
Mean0.1223355374
Median Absolute Deviation (MAD)0
Skewness5.544272367
Sum109028
Variance0.2872422085
MonotocityNot monotonic
2020-12-02T12:21:38.503803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
083173493.3%
 
1297713.3%
 
2180672.0%
 
357080.6%
 
440820.5%
 
514830.2%
 
6376< 0.1%
 
ValueCountFrequency (%) 
083173493.3%
 
1297713.3%
 
2180672.0%
 
357080.6%
 
440820.5%
 
514830.2%
 
6376< 0.1%
 
ValueCountFrequency (%) 
6376< 0.1%
 
514830.2%
 
440820.5%
 
357080.6%
 
2180672.0%
 
1297713.3%
 
083173493.3%
 

D19_BANKEN_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2199072957
Minimum0
Maximum6
Zeros794100
Zeros (%)89.1%
Memory size6.8 MiB
2020-12-02T12:21:38.607670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7479025591
Coefficient of variation (CV)3.400990206
Kurtosis19.49388354
Mean0.2199072957
Median Absolute Deviation (MAD)0
Skewness4.197355628
Sum195986
Variance0.5593582379
MonotocityNot monotonic
2020-12-02T12:21:38.703385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
079410089.1%
 
1435544.9%
 
2290793.3%
 
3102141.1%
 
490411.0%
 
539300.4%
 
613030.1%
 
ValueCountFrequency (%) 
079410089.1%
 
1435544.9%
 
2290793.3%
 
3102141.1%
 
490411.0%
 
539300.4%
 
613030.1%
 
ValueCountFrequency (%) 
613030.1%
 
539300.4%
 
490411.0%
 
3102141.1%
 
2290793.3%
 
1435544.9%
 
079410089.1%
 

D19_BANKEN_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.267419641
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:38.819914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.735724547
Coefficient of variation (CV)0.1872931856
Kurtosis7.988738678
Mean9.267419641
Median Absolute Deviation (MAD)0
Skewness-2.850510488
Sum8259319
Variance3.012739702
MonotocityNot monotonic
2020-12-02T12:21:38.945376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1067833176.1%
 
9827079.3%
 
8330623.7%
 
5294943.3%
 
7204822.3%
 
6171521.9%
 
184951.0%
 
484060.9%
 
280010.9%
 
350910.6%
 
ValueCountFrequency (%) 
184951.0%
 
280010.9%
 
350910.6%
 
484060.9%
 
5294943.3%
 
6171521.9%
 
7204822.3%
 
8330623.7%
 
9827079.3%
 
1067833176.1%
 
ValueCountFrequency (%) 
1067833176.1%
 
9827079.3%
 
8330623.7%
 
7204822.3%
 
6171521.9%
 
5294943.3%
 
484060.9%
 
350910.6%
 
280010.9%
 
184951.0%
 

D19_BANKEN_DIREKT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8927347987
Minimum0
Maximum7
Zeros728811
Zeros (%)81.8%
Memory size6.8 MiB
2020-12-02T12:21:39.050651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.011837672
Coefficient of variation (CV)2.253566989
Kurtosis2.168067482
Mean0.8927347987
Median Absolute Deviation (MAD)0
Skewness1.975549613
Sum795624
Variance4.04749082
MonotocityNot monotonic
2020-12-02T12:21:39.154494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
072881181.8%
 
6847989.5%
 
3273503.1%
 
5185392.1%
 
487711.0%
 
281190.9%
 
776560.9%
 
171770.8%
 
ValueCountFrequency (%) 
072881181.8%
 
171770.8%
 
281190.9%
 
3273503.1%
 
487711.0%
 
5185392.1%
 
6847989.5%
 
776560.9%
 
ValueCountFrequency (%) 
776560.9%
 
6847989.5%
 
5185392.1%
 
487711.0%
 
3273503.1%
 
281190.9%
 
171770.8%
 
072881181.8%
 

D19_BANKEN_GROSS
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5685795106
Minimum0
Maximum6
Zeros785351
Zeros (%)88.1%
Memory size6.8 MiB
2020-12-02T12:21:39.268553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.643763602
Coefficient of variation (CV)2.891000417
Kurtosis5.732380031
Mean0.5685795106
Median Absolute Deviation (MAD)0
Skewness2.72238652
Sum506730
Variance2.701958781
MonotocityNot monotonic
2020-12-02T12:21:39.388488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
078535188.1%
 
6571036.4%
 
3148621.7%
 
5139111.6%
 
481650.9%
 
163470.7%
 
254820.6%
 
ValueCountFrequency (%) 
078535188.1%
 
163470.7%
 
254820.6%
 
3148621.7%
 
481650.9%
 
5139111.6%
 
6571036.4%
 
ValueCountFrequency (%) 
6571036.4%
 
5139111.6%
 
481650.9%
 
3148621.7%
 
254820.6%
 
163470.7%
 
078535188.1%
 

D19_BANKEN_LOKAL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1067692525
Minimum0
Maximum7
Zeros874745
Zeros (%)98.2%
Memory size6.8 MiB
2020-12-02T12:21:39.494252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8081790634
Coefficient of variation (CV)7.569398907
Kurtosis60.04532759
Mean0.1067692525
Median Absolute Deviation (MAD)0
Skewness7.777010935
Sum95155
Variance0.6531533985
MonotocityNot monotonic
2020-12-02T12:21:39.579746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
087474598.2%
 
785221.0%
 
335000.4%
 
632020.4%
 
510530.1%
 
2118< 0.1%
 
469< 0.1%
 
112< 0.1%
 
ValueCountFrequency (%) 
087474598.2%
 
112< 0.1%
 
2118< 0.1%
 
335000.4%
 
469< 0.1%
 
510530.1%
 
632020.4%
 
785221.0%
 
ValueCountFrequency (%) 
785221.0%
 
632020.4%
 
510530.1%
 
469< 0.1%
 
335000.4%
 
2118< 0.1%
 
112< 0.1%
 
087474598.2%
 

D19_BANKEN_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.926793691
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:39.686522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6056413659
Coefficient of variation (CV)0.06101077394
Kurtosis117.0672592
Mean9.926793691
Median Absolute Deviation (MAD)0
Skewness-10.30930608
Sum8846967
Variance0.366801464
MonotocityNot monotonic
2020-12-02T12:21:39.796232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1087153597.8%
 
864510.7%
 
952970.6%
 
541770.5%
 
220580.2%
 
65090.1%
 
14760.1%
 
7335< 0.1%
 
4311< 0.1%
 
372< 0.1%
 
ValueCountFrequency (%) 
14760.1%
 
220580.2%
 
372< 0.1%
 
4311< 0.1%
 
541770.5%
 
65090.1%
 
7335< 0.1%
 
864510.7%
 
952970.6%
 
1087153597.8%
 
ValueCountFrequency (%) 
1087153597.8%
 
952970.6%
 
864510.7%
 
7335< 0.1%
 
65090.1%
 
541770.5%
 
4311< 0.1%
 
372< 0.1%
 
220580.2%
 
14760.1%
 

D19_BANKEN_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.439072912
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:39.904859image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.54777343
Coefficient of variation (CV)0.1639751535
Kurtosis11.67298613
Mean9.439072912
Median Absolute Deviation (MAD)0
Skewness-3.372331244
Sum8412300
Variance2.395602589
MonotocityNot monotonic
2020-12-02T12:21:40.014927image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1072698281.6%
 
9660777.4%
 
8229392.6%
 
5221242.5%
 
7163211.8%
 
6136681.5%
 
169170.8%
 
468690.8%
 
249650.6%
 
343590.5%
 
ValueCountFrequency (%) 
169170.8%
 
249650.6%
 
343590.5%
 
468690.8%
 
5221242.5%
 
6136681.5%
 
7163211.8%
 
8229392.6%
 
9660777.4%
 
1072698281.6%
 
ValueCountFrequency (%) 
1072698281.6%
 
9660777.4%
 
8229392.6%
 
7163211.8%
 
6136681.5%
 
5221242.5%
 
468690.8%
 
343590.5%
 
249650.6%
 
169170.8%
 

D19_BANKEN_ONLINE_QUOTE_12
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5017677995
Minimum0
Maximum10
Zeros845987
Zeros (%)94.9%
Memory size6.8 MiB
2020-12-02T12:21:40.127936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.176803534
Coefficient of variation (CV)4.33826869
Kurtosis15.0000333
Mean0.5017677995
Median Absolute Deviation (MAD)0
Skewness4.119895652
Sum447186
Variance4.738473626
MonotocityNot monotonic
2020-12-02T12:21:40.236822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
084598794.9%
 
10440654.9%
 
5391< 0.1%
 
3220< 0.1%
 
7214< 0.1%
 
8172< 0.1%
 
967< 0.1%
 
650< 0.1%
 
235< 0.1%
 
418< 0.1%
 
12< 0.1%
 
ValueCountFrequency (%) 
084598794.9%
 
12< 0.1%
 
235< 0.1%
 
3220< 0.1%
 
418< 0.1%
 
5391< 0.1%
 
650< 0.1%
 
7214< 0.1%
 
8172< 0.1%
 
967< 0.1%
 
ValueCountFrequency (%) 
10440654.9%
 
967< 0.1%
 
8172< 0.1%
 
7214< 0.1%
 
650< 0.1%
 
5391< 0.1%
 
418< 0.1%
 
3220< 0.1%
 
235< 0.1%
 
12< 0.1%
 

D19_BANKEN_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4256452664
Minimum0
Maximum7
Zeros821760
Zeros (%)92.2%
Memory size6.8 MiB
2020-12-02T12:21:40.351371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.510782005
Coefficient of variation (CV)3.549392239
Kurtosis9.772301708
Mean0.4256452664
Median Absolute Deviation (MAD)0
Skewness3.389116791
Sum379344
Variance2.282462268
MonotocityNot monotonic
2020-12-02T12:21:40.459542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
082176092.2%
 
6431434.8%
 
577440.9%
 
773390.8%
 
359430.7%
 
229280.3%
 
414480.2%
 
19160.1%
 
ValueCountFrequency (%) 
082176092.2%
 
19160.1%
 
229280.3%
 
359430.7%
 
414480.2%
 
577440.9%
 
6431434.8%
 
773390.8%
 
ValueCountFrequency (%) 
773390.8%
 
6431434.8%
 
577440.9%
 
414480.2%
 
359430.7%
 
229280.3%
 
19160.1%
 
082176092.2%
 

D19_BEKLEIDUNG_GEH
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4678693612
Minimum0
Maximum7
Zeros809304
Zeros (%)90.8%
Memory size6.8 MiB
2020-12-02T12:21:40.572033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.542150743
Coefficient of variation (CV)3.296113981
Kurtosis8.575243035
Mean0.4678693612
Median Absolute Deviation (MAD)0
Skewness3.183221612
Sum416975
Variance2.378228914
MonotocityNot monotonic
2020-12-02T12:21:40.696830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
080930490.8%
 
6393924.4%
 
3152391.7%
 
5118991.3%
 
784781.0%
 
231170.3%
 
420130.2%
 
117790.2%
 
ValueCountFrequency (%) 
080930490.8%
 
117790.2%
 
231170.3%
 
3152391.7%
 
420130.2%
 
5118991.3%
 
6393924.4%
 
784781.0%
 
ValueCountFrequency (%) 
784781.0%
 
6393924.4%
 
5118991.3%
 
420130.2%
 
3152391.7%
 
231170.3%
 
117790.2%
 
080930490.8%
 

D19_BEKLEIDUNG_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.145516095
Minimum0
Maximum7
Zeros692502
Zeros (%)77.7%
Memory size6.8 MiB
2020-12-02T12:21:40.809887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.266998592
Coefficient of variation (CV)1.979019414
Kurtosis0.8072089987
Mean1.145516095
Median Absolute Deviation (MAD)0
Skewness1.613705085
Sum1020908
Variance5.139282617
MonotocityNot monotonic
2020-12-02T12:21:40.913985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
069250277.7%
 
610902512.2%
 
3302013.4%
 
7196372.2%
 
5185542.1%
 
287481.0%
 
172620.8%
 
452920.6%
 
ValueCountFrequency (%) 
069250277.7%
 
172620.8%
 
287481.0%
 
3302013.4%
 
452920.6%
 
5185542.1%
 
610902512.2%
 
7196372.2%
 
ValueCountFrequency (%) 
7196372.2%
 
610902512.2%
 
5185542.1%
 
452920.6%
 
3302013.4%
 
287481.0%
 
172620.8%
 
069250277.7%
 

D19_BILDUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4855080839
Minimum0
Maximum7
Zeros813156
Zeros (%)91.2%
Memory size6.8 MiB
2020-12-02T12:21:41.025094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.639339895
Coefficient of variation (CV)3.376545004
Kurtosis8.789013383
Mean0.4855080839
Median Absolute Deviation (MAD)0
Skewness3.236373733
Sum432695
Variance2.687435291
MonotocityNot monotonic
2020-12-02T12:21:41.128743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
081315691.2%
 
6375024.2%
 
7218282.4%
 
285821.0%
 
351270.6%
 
533630.4%
 
412880.1%
 
1375< 0.1%
 
ValueCountFrequency (%) 
081315691.2%
 
1375< 0.1%
 
285821.0%
 
351270.6%
 
412880.1%
 
533630.4%
 
6375024.2%
 
7218282.4%
 
ValueCountFrequency (%) 
7218282.4%
 
6375024.2%
 
533630.4%
 
412880.1%
 
351270.6%
 
285821.0%
 
1375< 0.1%
 
081315691.2%
 

D19_BIO_OEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2579382667
Minimum0
Maximum7
Zeros854074
Zeros (%)95.8%
Memory size6.8 MiB
2020-12-02T12:21:41.232125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.252328077
Coefficient of variation (CV)4.855146514
Kurtosis20.70782897
Mean0.2579382667
Median Absolute Deviation (MAD)0
Skewness4.732438138
Sum229880
Variance1.568325611
MonotocityNot monotonic
2020-12-02T12:21:41.332985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085407495.8%
 
6177322.0%
 
7152411.7%
 
521210.2%
 
319260.2%
 
483< 0.1%
 
242< 0.1%
 
12< 0.1%
 
ValueCountFrequency (%) 
085407495.8%
 
12< 0.1%
 
242< 0.1%
 
319260.2%
 
483< 0.1%
 
521210.2%
 
6177322.0%
 
7152411.7%
 
ValueCountFrequency (%) 
7152411.7%
 
6177322.0%
 
521210.2%
 
483< 0.1%
 
319260.2%
 
242< 0.1%
 
12< 0.1%
 
085407495.8%
 

D19_BUCH_CD
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.585404742
Minimum0
Maximum7
Zeros622788
Zeros (%)69.9%
Memory size6.8 MiB
2020-12-02T12:21:41.449303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.547925475
Coefficient of variation (CV)1.60711357
Kurtosis-0.721059398
Mean1.585404742
Median Absolute Deviation (MAD)0
Skewness1.081502492
Sum1412946
Variance6.491924228
MonotocityNot monotonic
2020-12-02T12:21:41.541999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
062278869.9%
 
618826321.1%
 
3261922.9%
 
5159001.8%
 
1117351.3%
 
291871.0%
 
788531.0%
 
483030.9%
 
ValueCountFrequency (%) 
062278869.9%
 
1117351.3%
 
291871.0%
 
3261922.9%
 
483030.9%
 
5159001.8%
 
618826321.1%
 
788531.0%
 
ValueCountFrequency (%) 
788531.0%
 
618826321.1%
 
5159001.8%
 
483030.9%
 
3261922.9%
 
291871.0%
 
1117351.3%
 
062278869.9%
 

D19_DIGIT_SERV
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1967458128
Minimum0
Maximum7
Zeros857661
Zeros (%)96.2%
Memory size6.8 MiB
2020-12-02T12:21:41.640202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.036761626
Coefficient of variation (CV)5.269548618
Kurtosis27.29309336
Mean0.1967458128
Median Absolute Deviation (MAD)0
Skewness5.331820494
Sum175344
Variance1.074874669
MonotocityNot monotonic
2020-12-02T12:21:41.730474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085766196.2%
 
6179422.0%
 
361530.7%
 
740300.5%
 
532250.4%
 
212930.1%
 
44650.1%
 
14520.1%
 
ValueCountFrequency (%) 
085766196.2%
 
14520.1%
 
212930.1%
 
361530.7%
 
44650.1%
 
532250.4%
 
6179422.0%
 
740300.5%
 
ValueCountFrequency (%) 
740300.5%
 
6179422.0%
 
532250.4%
 
44650.1%
 
361530.7%
 
212930.1%
 
14520.1%
 
085766196.2%
 

D19_DROGERIEARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6732920342
Minimum0
Maximum7
Zeros761014
Zeros (%)85.4%
Memory size6.8 MiB
2020-12-02T12:21:41.830720image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.752757614
Coefficient of variation (CV)2.603265039
Kurtosis4.475394192
Mean0.6732920342
Median Absolute Deviation (MAD)0
Skewness2.4550082
Sum600052
Variance3.072159252
MonotocityNot monotonic
2020-12-02T12:21:41.953339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
076101485.4%
 
6520605.8%
 
3247632.8%
 
5175482.0%
 
4109511.2%
 
299281.1%
 
778410.9%
 
171160.8%
 
ValueCountFrequency (%) 
076101485.4%
 
171160.8%
 
299281.1%
 
3247632.8%
 
4109511.2%
 
5175482.0%
 
6520605.8%
 
778410.9%
 
ValueCountFrequency (%) 
778410.9%
 
6520605.8%
 
5175482.0%
 
4109511.2%
 
3247632.8%
 
299281.1%
 
171160.8%
 
076101485.4%
 

D19_ENERGIE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3468544839
Minimum0
Maximum7
Zeros829857
Zeros (%)93.1%
Memory size6.8 MiB
2020-12-02T12:21:42.071345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.337269246
Coefficient of variation (CV)3.855418649
Kurtosis13.41220687
Mean0.3468544839
Median Absolute Deviation (MAD)0
Skewness3.838273892
Sum309124
Variance1.788289036
MonotocityNot monotonic
2020-12-02T12:21:42.187050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
082985793.1%
 
6257882.9%
 
3145721.6%
 
595561.1%
 
776550.9%
 
219670.2%
 
411850.1%
 
16410.1%
 
ValueCountFrequency (%) 
082985793.1%
 
16410.1%
 
219670.2%
 
3145721.6%
 
411850.1%
 
595561.1%
 
6257882.9%
 
776550.9%
 
ValueCountFrequency (%) 
776550.9%
 
6257882.9%
 
595561.1%
 
411850.1%
 
3145721.6%
 
219670.2%
 
16410.1%
 
082985793.1%
 

D19_FREIZEIT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5906784064
Minimum0
Maximum7
Zeros790748
Zeros (%)88.7%
Memory size6.8 MiB
2020-12-02T12:21:42.302008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.721602058
Coefficient of variation (CV)2.914618242
Kurtosis5.660377566
Mean0.5906784064
Median Absolute Deviation (MAD)0
Skewness2.712950351
Sum526425
Variance2.963913646
MonotocityNot monotonic
2020-12-02T12:21:42.417306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
079074888.7%
 
6550566.2%
 
3152971.7%
 
5135871.5%
 
785141.0%
 
439900.4%
 
226760.3%
 
113530.2%
 
ValueCountFrequency (%) 
079074888.7%
 
113530.2%
 
226760.3%
 
3152971.7%
 
439900.4%
 
5135871.5%
 
6550566.2%
 
785141.0%
 
ValueCountFrequency (%) 
785141.0%
 
6550566.2%
 
5135871.5%
 
439900.4%
 
3152971.7%
 
226760.3%
 
113530.2%
 
079074888.7%
 

D19_GARTEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2559926214
Minimum0
Maximum7
Zeros851626
Zeros (%)95.6%
Memory size6.8 MiB
2020-12-02T12:21:42.528216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.213047558
Coefficient of variation (CV)4.738603603
Kurtosis20.21717778
Mean0.2559926214
Median Absolute Deviation (MAD)0
Skewness4.662702276
Sum228146
Variance1.471484378
MonotocityNot monotonic
2020-12-02T12:21:42.626218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085162695.6%
 
6204102.3%
 
795551.1%
 
549790.6%
 
340030.4%
 
4328< 0.1%
 
2265< 0.1%
 
155< 0.1%
 
ValueCountFrequency (%) 
085162695.6%
 
155< 0.1%
 
2265< 0.1%
 
340030.4%
 
4328< 0.1%
 
549790.6%
 
6204102.3%
 
795551.1%
 
ValueCountFrequency (%) 
795551.1%
 
6204102.3%
 
549790.6%
 
4328< 0.1%
 
340030.4%
 
2265< 0.1%
 
155< 0.1%
 
085162695.6%
 

D19_GESAMT_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7976831785
Minimum0
Maximum6
Zeros584797
Zeros (%)65.6%
Memory size6.8 MiB
2020-12-02T12:21:42.730996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.330717922
Coefficient of variation (CV)1.668228638
Kurtosis1.978641833
Mean0.7976831785
Median Absolute Deviation (MAD)0
Skewness1.68398608
Sum710912
Variance1.770810189
MonotocityNot monotonic
2020-12-02T12:21:42.831806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
058479765.6%
 
19946511.2%
 
29728210.9%
 
3456855.1%
 
4435794.9%
 
5169661.9%
 
634470.4%
 
ValueCountFrequency (%) 
058479765.6%
 
19946511.2%
 
29728210.9%
 
3456855.1%
 
4435794.9%
 
5169661.9%
 
634470.4%
 
ValueCountFrequency (%) 
634470.4%
 
5169661.9%
 
4435794.9%
 
3456855.1%
 
29728210.9%
 
19946511.2%
 
058479765.6%
 

D19_GESAMT_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.240179484
Minimum0
Maximum6
Zeros505303
Zeros (%)56.7%
Memory size6.8 MiB
2020-12-02T12:21:42.932846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.72786727
Coefficient of variation (CV)1.393239682
Kurtosis0.1227129192
Mean1.240179484
Median Absolute Deviation (MAD)0
Skewness1.176568175
Sum1105274
Variance2.985525303
MonotocityNot monotonic
2020-12-02T12:21:43.022355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
050530356.7%
 
210178511.4%
 
1864939.7%
 
4742108.3%
 
3585546.6%
 
5465475.2%
 
6183292.1%
 
ValueCountFrequency (%) 
050530356.7%
 
1864939.7%
 
210178511.4%
 
3585546.6%
 
4742108.3%
 
5465475.2%
 
6183292.1%
 
ValueCountFrequency (%) 
6183292.1%
 
5465475.2%
 
4742108.3%
 
3585546.6%
 
210178511.4%
 
1864939.7%
 
050530356.7%
 

D19_GESAMT_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.071743148
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:43.128372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.212714827
Coefficient of variation (CV)0.454303099
Kurtosis-1.051195891
Mean7.071743148
Median Absolute Deviation (MAD)1
Skewness-0.6616137514
Sum6302486
Variance10.32153656
MonotocityNot monotonic
2020-12-02T12:21:43.220792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1035417039.7%
 
99828111.0%
 
59374010.5%
 
1760098.5%
 
2597746.7%
 
8528525.9%
 
4440314.9%
 
6420084.7%
 
7374864.2%
 
3328703.7%
 
ValueCountFrequency (%) 
1760098.5%
 
2597746.7%
 
3328703.7%
 
4440314.9%
 
59374010.5%
 
6420084.7%
 
7374864.2%
 
8528525.9%
 
99828111.0%
 
1035417039.7%
 
ValueCountFrequency (%) 
1035417039.7%
 
99828111.0%
 
8528525.9%
 
7374864.2%
 
6420084.7%
 
59374010.5%
 
4440314.9%
 
3328703.7%
 
2597746.7%
 
1760098.5%
 

D19_GESAMT_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.034676023
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:43.324483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.768926187
Coefficient of variation (CV)0.195792985
Kurtosis5.521696248
Mean9.034676023
Median Absolute Deviation (MAD)0
Skewness-2.355357653
Sum8051893
Variance3.129099854
MonotocityNot monotonic
2020-12-02T12:21:43.424383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1055855862.7%
 
914745616.5%
 
8693827.8%
 
5348273.9%
 
7277843.1%
 
6227172.5%
 
495471.1%
 
291881.0%
 
163110.7%
 
354510.6%
 
ValueCountFrequency (%) 
163110.7%
 
291881.0%
 
354510.6%
 
495471.1%
 
5348273.9%
 
6227172.5%
 
7277843.1%
 
8693827.8%
 
914745616.5%
 
1055855862.7%
 
ValueCountFrequency (%) 
1055855862.7%
 
914745616.5%
 
8693827.8%
 
7277843.1%
 
6227172.5%
 
5348273.9%
 
495471.1%
 
354510.6%
 
291881.0%
 
163110.7%
 

D19_GESAMT_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.680381185
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:43.523086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.039866847
Coefficient of variation (CV)0.3957963509
Kurtosis-0.4469555651
Mean7.680381185
Median Absolute Deviation (MAD)0
Skewness-1.001717247
Sum6844917
Variance9.240790446
MonotocityNot monotonic
2020-12-02T12:21:43.630122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1045099550.6%
 
9861189.7%
 
5797739.0%
 
1573316.4%
 
8426284.8%
 
2413914.6%
 
6369954.2%
 
4362274.1%
 
7334343.8%
 
3263293.0%
 
ValueCountFrequency (%) 
1573316.4%
 
2413914.6%
 
3263293.0%
 
4362274.1%
 
5797739.0%
 
6369954.2%
 
7334343.8%
 
8426284.8%
 
9861189.7%
 
1045099550.6%
 
ValueCountFrequency (%) 
1045099550.6%
 
9861189.7%
 
8426284.8%
 
7334343.8%
 
6369954.2%
 
5797739.0%
 
4362274.1%
 
3263293.0%
 
2413914.6%
 
1573316.4%
 

D19_GESAMT_ONLINE_QUOTE_12
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.533634194
Minimum0
Maximum10
Zeros650188
Zeros (%)73.0%
Memory size6.8 MiB
2020-12-02T12:21:43.724502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.247811266
Coefficient of variation (CV)1.676568494
Kurtosis-0.6893905002
Mean2.533634194
Median Absolute Deviation (MAD)0
Skewness1.122204162
Sum2258028
Variance18.04390055
MonotocityNot monotonic
2020-12-02T12:21:43.835402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
065018873.0%
 
1019990622.4%
 
5105171.2%
 
894671.1%
 
769230.8%
 
960460.7%
 
335430.4%
 
616790.2%
 
210660.1%
 
410170.1%
 
18690.1%
 
ValueCountFrequency (%) 
065018873.0%
 
18690.1%
 
210660.1%
 
335430.4%
 
410170.1%
 
5105171.2%
 
616790.2%
 
769230.8%
 
894671.1%
 
960460.7%
 
ValueCountFrequency (%) 
1019990622.4%
 
960460.7%
 
894671.1%
 
769230.8%
 
616790.2%
 
5105171.2%
 
410170.1%
 
335430.4%
 
210660.1%
 
18690.1%
 

D19_HANDWERK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8419942977
Minimum0
Maximum7
Zeros768381
Zeros (%)86.2%
Memory size6.8 MiB
2020-12-02T12:21:43.933783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.119703265
Coefficient of variation (CV)2.517479359
Kurtosis2.691117597
Mean0.8419942977
Median Absolute Deviation (MAD)0
Skewness2.149109132
Sum750403
Variance4.493141932
MonotocityNot monotonic
2020-12-02T12:21:44.040413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
076838186.2%
 
69096810.2%
 
7253192.8%
 
538100.4%
 
324650.3%
 
4184< 0.1%
 
287< 0.1%
 
17< 0.1%
 
ValueCountFrequency (%) 
076838186.2%
 
17< 0.1%
 
287< 0.1%
 
324650.3%
 
4184< 0.1%
 
538100.4%
 
69096810.2%
 
7253192.8%
 
ValueCountFrequency (%) 
7253192.8%
 
69096810.2%
 
538100.4%
 
4184< 0.1%
 
324650.3%
 
287< 0.1%
 
17< 0.1%
 
076838186.2%
 

D19_HAUS_DEKO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.017851913
Minimum0
Maximum7
Zeros713100
Zeros (%)80.0%
Memory size6.8 MiB
2020-12-02T12:21:44.154439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.144350331
Coefficient of variation (CV)2.106740974
Kurtosis1.350673895
Mean1.017851913
Median Absolute Deviation (MAD)0
Skewness1.770905762
Sum907131
Variance4.598238343
MonotocityNot monotonic
2020-12-02T12:21:44.253939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
071310080.0%
 
610072011.3%
 
3310243.5%
 
5207482.3%
 
7102781.2%
 
274760.8%
 
141330.5%
 
437420.4%
 
ValueCountFrequency (%) 
071310080.0%
 
141330.5%
 
274760.8%
 
3310243.5%
 
437420.4%
 
5207482.3%
 
610072011.3%
 
7102781.2%
 
ValueCountFrequency (%) 
7102781.2%
 
610072011.3%
 
5207482.3%
 
437420.4%
 
3310243.5%
 
274760.8%
 
141330.5%
 
071310080.0%
 

D19_KINDERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8706572219
Minimum0
Maximum7
Zeros749365
Zeros (%)84.1%
Memory size6.8 MiB
2020-12-02T12:21:44.347068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.077302903
Coefficient of variation (CV)2.38590211
Kurtosis2.530702709
Mean0.8706572219
Median Absolute Deviation (MAD)0
Skewness2.080699659
Sum775948
Variance4.31518735
MonotocityNot monotonic
2020-12-02T12:21:44.440661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
074936584.1%
 
6793208.9%
 
7225972.5%
 
3164021.8%
 
5133981.5%
 
258420.7%
 
432240.4%
 
110730.1%
 
ValueCountFrequency (%) 
074936584.1%
 
110730.1%
 
258420.7%
 
3164021.8%
 
432240.4%
 
5133981.5%
 
6793208.9%
 
7225972.5%
 
ValueCountFrequency (%) 
7225972.5%
 
6793208.9%
 
5133981.5%
 
432240.4%
 
3164021.8%
 
258420.7%
 
110730.1%
 
074936584.1%
 

D19_KONSUMTYP
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.456042889
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:44.565381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.172825573
Coefficient of variation (CV)0.4914505104
Kurtosis-1.273597593
Mean6.456042889
Median Absolute Deviation (MAD)0
Skewness-0.6512094695
Sum5753761
Variance10.06682212
MonotocityNot monotonic
2020-12-02T12:21:44.653300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
951140957.4%
 
111791213.2%
 
4782628.8%
 
6565626.3%
 
3533306.0%
 
2493245.5%
 
5244222.7%
 
ValueCountFrequency (%) 
111791213.2%
 
2493245.5%
 
3533306.0%
 
4782628.8%
 
5244222.7%
 
6565626.3%
 
951140957.4%
 
ValueCountFrequency (%) 
951140957.4%
 
6565626.3%
 
5244222.7%
 
4782628.8%
 
3533306.0%
 
2493245.5%
 
111791213.2%
 

D19_KONSUMTYP_MAX
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.849228194
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:44.750414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median8
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.225761975
Coefficient of variation (CV)0.5514850623
Kurtosis-1.591701794
Mean5.849228194
Median Absolute Deviation (MAD)1
Skewness-0.4339861885
Sum5212955
Variance10.40554032
MonotocityNot monotonic
2020-12-02T12:21:44.836997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
826028529.2%
 
925711328.8%
 
114457016.2%
 
29142310.3%
 
4757528.5%
 
3620787.0%
 
ValueCountFrequency (%) 
114457016.2%
 
29142310.3%
 
3620787.0%
 
4757528.5%
 
826028529.2%
 
925711328.8%
 
ValueCountFrequency (%) 
925711328.8%
 
826028529.2%
 
4757528.5%
 
3620787.0%
 
29142310.3%
 
114457016.2%
 

D19_KOSMETIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0301014
Minimum0
Maximum7
Zeros745836
Zeros (%)83.7%
Memory size6.8 MiB
2020-12-02T12:21:44.955971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.347222584
Coefficient of variation (CV)2.278632554
Kurtosis1.541369181
Mean1.0301014
Median Absolute Deviation (MAD)0
Skewness1.86526696
Sum918048
Variance5.509453861
MonotocityNot monotonic
2020-12-02T12:21:45.060687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
074583683.7%
 
68935310.0%
 
7528585.9%
 
512920.1%
 
312630.1%
 
4269< 0.1%
 
2249< 0.1%
 
1101< 0.1%
 
ValueCountFrequency (%) 
074583683.7%
 
1101< 0.1%
 
2249< 0.1%
 
312630.1%
 
4269< 0.1%
 
512920.1%
 
68935310.0%
 
7528585.9%
 
ValueCountFrequency (%) 
7528585.9%
 
68935310.0%
 
512920.1%
 
4269< 0.1%
 
312630.1%
 
2249< 0.1%
 
1101< 0.1%
 
074583683.7%
 

D19_LEBENSMITTEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3195245624
Minimum0
Maximum7
Zeros837914
Zeros (%)94.0%
Memory size6.8 MiB
2020-12-02T12:21:45.161778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.316089627
Coefficient of variation (CV)4.118899709
Kurtosis15.11640273
Mean0.3195245624
Median Absolute Deviation (MAD)0
Skewness4.070427464
Sum284767
Variance1.732091907
MonotocityNot monotonic
2020-12-02T12:21:45.262154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
083791494.0%
 
6276263.1%
 
3100441.1%
 
783180.9%
 
551980.6%
 
213150.1%
 
4409< 0.1%
 
1397< 0.1%
 
ValueCountFrequency (%) 
083791494.0%
 
1397< 0.1%
 
213150.1%
 
3100441.1%
 
4409< 0.1%
 
551980.6%
 
6276263.1%
 
783180.9%
 
ValueCountFrequency (%) 
783180.9%
 
6276263.1%
 
551980.6%
 
4409< 0.1%
 
3100441.1%
 
213150.1%
 
1397< 0.1%
 
083791494.0%
 

D19_LOTTO
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.082720223
Minimum0
Maximum7
Zeros747956
Zeros (%)83.9%
Memory size6.8 MiB
2020-12-02T12:21:45.367794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.486735462
Coefficient of variation (CV)2.296747958
Kurtosis1.569002408
Mean1.082720223
Median Absolute Deviation (MAD)0
Skewness1.87961053
Sum964943
Variance6.183853257
MonotocityNot monotonic
2020-12-02T12:21:45.465083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
074795683.9%
 
711348612.7%
 
6257362.9%
 
520110.2%
 
318690.2%
 
478< 0.1%
 
266< 0.1%
 
119< 0.1%
 
ValueCountFrequency (%) 
074795683.9%
 
119< 0.1%
 
266< 0.1%
 
318690.2%
 
478< 0.1%
 
520110.2%
 
6257362.9%
 
711348612.7%
 
ValueCountFrequency (%) 
711348612.7%
 
6257362.9%
 
520110.2%
 
478< 0.1%
 
318690.2%
 
266< 0.1%
 
119< 0.1%
 
074795683.9%
 

D19_NAHRUNGSERGAENZUNG
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2445240855
Minimum0
Maximum7
Zeros852176
Zeros (%)95.6%
Memory size6.8 MiB
2020-12-02T12:21:45.558753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.184654187
Coefficient of variation (CV)4.84473415
Kurtosis22.0998643
Mean0.2445240855
Median Absolute Deviation (MAD)0
Skewness4.841231013
Sum217925
Variance1.403405544
MonotocityNot monotonic
2020-12-02T12:21:45.657241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085217695.6%
 
6157781.8%
 
7115961.3%
 
357680.6%
 
542430.5%
 
26790.1%
 
15720.1%
 
4409< 0.1%
 
ValueCountFrequency (%) 
085217695.6%
 
15720.1%
 
26790.1%
 
357680.6%
 
4409< 0.1%
 
542430.5%
 
6157781.8%
 
7115961.3%
 
ValueCountFrequency (%) 
7115961.3%
 
6157781.8%
 
542430.5%
 
4409< 0.1%
 
357680.6%
 
26790.1%
 
15720.1%
 
085217695.6%
 

D19_RATGEBER
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5028303866
Minimum0
Maximum7
Zeros805071
Zeros (%)90.3%
Memory size6.8 MiB
2020-12-02T12:21:45.786462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.616870573
Coefficient of variation (CV)3.215538711
Kurtosis7.916111676
Mean0.5028303866
Median Absolute Deviation (MAD)0
Skewness3.088104446
Sum448133
Variance2.61427045
MonotocityNot monotonic
2020-12-02T12:21:45.876569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
080507190.3%
 
6447075.0%
 
7122871.4%
 
3105981.2%
 
283340.9%
 
571970.8%
 
421360.2%
 
18910.1%
 
ValueCountFrequency (%) 
080507190.3%
 
18910.1%
 
283340.9%
 
3105981.2%
 
421360.2%
 
571970.8%
 
6447075.0%
 
7122871.4%
 
ValueCountFrequency (%) 
7122871.4%
 
6447075.0%
 
571970.8%
 
421360.2%
 
3105981.2%
 
283340.9%
 
18910.1%
 
080507190.3%
 

D19_REISEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.048627669
Minimum0
Maximum7
Zeros736924
Zeros (%)82.7%
Memory size6.8 MiB
2020-12-02T12:21:45.990561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.329346976
Coefficient of variation (CV)2.221328928
Kurtosis1.410457606
Mean1.048627669
Median Absolute Deviation (MAD)0
Skewness1.82118668
Sum934559
Variance5.425857335
MonotocityNot monotonic
2020-12-02T12:21:46.086666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
073692482.7%
 
69412310.6%
 
7453155.1%
 
357580.6%
 
551490.6%
 
229750.3%
 
48900.1%
 
187< 0.1%
 
ValueCountFrequency (%) 
073692482.7%
 
187< 0.1%
 
229750.3%
 
357580.6%
 
48900.1%
 
551490.6%
 
69412310.6%
 
7453155.1%
 
ValueCountFrequency (%) 
7453155.1%
 
69412310.6%
 
551490.6%
 
48900.1%
 
357580.6%
 
229750.3%
 
187< 0.1%
 
073692482.7%
 

D19_SAMMELARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5946056029
Minimum0
Maximum7
Zeros802085
Zeros (%)90.0%
Memory size6.8 MiB
2020-12-02T12:21:46.179279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.798291114
Coefficient of variation (CV)3.024342699
Kurtosis5.541964347
Mean0.5946056029
Median Absolute Deviation (MAD)0
Skewness2.729534579
Sum529925
Variance3.23385093
MonotocityNot monotonic
2020-12-02T12:21:46.282411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
080208590.0%
 
6712978.0%
 
7100671.1%
 
540720.5%
 
330160.3%
 
44700.1%
 
2172< 0.1%
 
142< 0.1%
 
ValueCountFrequency (%) 
080208590.0%
 
142< 0.1%
 
2172< 0.1%
 
330160.3%
 
44700.1%
 
540720.5%
 
6712978.0%
 
7100671.1%
 
ValueCountFrequency (%) 
7100671.1%
 
6712978.0%
 
540720.5%
 
44700.1%
 
330160.3%
 
2172< 0.1%
 
142< 0.1%
 
080208590.0%
 

D19_SCHUHE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5108183043
Minimum0
Maximum7
Zeros773024
Zeros (%)86.7%
Memory size6.8 MiB
2020-12-02T12:21:46.403409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.433293004
Coefficient of variation (CV)2.80587636
Kurtosis7.427577596
Mean0.5108183043
Median Absolute Deviation (MAD)0
Skewness2.88407437
Sum455252
Variance2.054328836
MonotocityNot monotonic
2020-12-02T12:21:46.514984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
077302486.7%
 
3464875.2%
 
6205892.3%
 
5199472.2%
 
2170711.9%
 
756320.6%
 
149760.6%
 
434950.4%
 
ValueCountFrequency (%) 
077302486.7%
 
149760.6%
 
2170711.9%
 
3464875.2%
 
434950.4%
 
5199472.2%
 
6205892.3%
 
756320.6%
 
ValueCountFrequency (%) 
756320.6%
 
6205892.3%
 
5199472.2%
 
434950.4%
 
3464875.2%
 
2170711.9%
 
149760.6%
 
077302486.7%
 

D19_SONSTIGE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.365958612
Minimum0
Maximum7
Zeros505953
Zeros (%)56.8%
Memory size6.8 MiB
2020-12-02T12:21:46.621804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.861577014
Coefficient of variation (CV)1.209478898
Kurtosis-1.610906026
Mean2.365958612
Median Absolute Deviation (MAD)0
Skewness0.4965648036
Sum2108592
Variance8.18862301
MonotocityNot monotonic
2020-12-02T12:21:46.726582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
050595356.8%
 
622047824.7%
 
7583736.5%
 
3445785.0%
 
5350283.9%
 
2108161.2%
 
4102041.1%
 
157910.6%
 
ValueCountFrequency (%) 
050595356.8%
 
157910.6%
 
2108161.2%
 
3445785.0%
 
4102041.1%
 
5350283.9%
 
622047824.7%
 
7583736.5%
 
ValueCountFrequency (%) 
7583736.5%
 
622047824.7%
 
5350283.9%
 
4102041.1%
 
3445785.0%
 
2108161.2%
 
157910.6%
 
050595356.8%
 

D19_SOZIALES
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.468104993
Minimum0
Maximum5
Zeros762941
Zeros (%)85.6%
Memory size6.8 MiB
2020-12-02T12:21:46.825173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.265254586
Coefficient of variation (CV)2.702929053
Kurtosis5.543608747
Mean0.468104993
Median Absolute Deviation (MAD)0
Skewness2.640615165
Sum417185
Variance1.600869166
MonotocityNot monotonic
2020-12-02T12:21:46.939696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
076294185.6%
 
4365144.1%
 
5304143.4%
 
1251282.8%
 
3214832.4%
 
2147411.7%
 
ValueCountFrequency (%) 
076294185.6%
 
1251282.8%
 
2147411.7%
 
3214832.4%
 
4365144.1%
 
5304143.4%
 
ValueCountFrequency (%) 
5304143.4%
 
4365144.1%
 
3214832.4%
 
2147411.7%
 
1251282.8%
 
076294185.6%
 

D19_TECHNIK
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.738563162
Minimum0
Maximum7
Zeros630101
Zeros (%)70.7%
Memory size6.8 MiB
2020-12-02T12:21:47.037111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.740416536
Coefficient of variation (CV)1.576253653
Kurtosis-0.9707793303
Mean1.738563162
Median Absolute Deviation (MAD)0
Skewness0.9818040267
Sum1549444
Variance7.50988279
MonotocityNot monotonic
2020-12-02T12:21:47.127068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
063010170.7%
 
619097921.4%
 
7411744.6%
 
5143891.6%
 
3110641.2%
 
418460.2%
 
211630.1%
 
15050.1%
 
ValueCountFrequency (%) 
063010170.7%
 
15050.1%
 
211630.1%
 
3110641.2%
 
418460.2%
 
5143891.6%
 
619097921.4%
 
7411744.6%
 
ValueCountFrequency (%) 
7411744.6%
 
619097921.4%
 
5143891.6%
 
418460.2%
 
3110641.2%
 
211630.1%
 
15050.1%
 
063010170.7%
 

D19_TELKO_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04905629468
Minimum0
Maximum6
Zeros857990
Zeros (%)96.3%
Memory size6.8 MiB
2020-12-02T12:21:47.246000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2775520519
Coefficient of variation (CV)5.657827475
Kurtosis71.00257978
Mean0.04905629468
Median Absolute Deviation (MAD)0
Skewness7.350416418
Sum43720
Variance0.07703514149
MonotocityNot monotonic
2020-12-02T12:21:47.328876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
085799096.3%
 
1248682.8%
 
269540.8%
 
38650.1%
 
4406< 0.1%
 
5103< 0.1%
 
635< 0.1%
 
ValueCountFrequency (%) 
085799096.3%
 
1248682.8%
 
269540.8%
 
38650.1%
 
4406< 0.1%
 
5103< 0.1%
 
635< 0.1%
 
ValueCountFrequency (%) 
635< 0.1%
 
5103< 0.1%
 
4406< 0.1%
 
38650.1%
 
269540.8%
 
1248682.8%
 
085799096.3%
 

D19_TELKO_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09880377594
Minimum0
Maximum6
Zeros826208
Zeros (%)92.7%
Memory size6.8 MiB
2020-12-02T12:21:47.428362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3935872808
Coefficient of variation (CV)3.983524688
Kurtosis32.13673667
Mean0.09880377594
Median Absolute Deviation (MAD)0
Skewness5.029072305
Sum88056
Variance0.1549109476
MonotocityNot monotonic
2020-12-02T12:21:47.550597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
082620892.7%
 
1465205.2%
 
2153431.7%
 
320550.2%
 
48440.1%
 
5197< 0.1%
 
654< 0.1%
 
ValueCountFrequency (%) 
082620892.7%
 
1465205.2%
 
2153431.7%
 
320550.2%
 
48440.1%
 
5197< 0.1%
 
654< 0.1%
 
ValueCountFrequency (%) 
654< 0.1%
 
5197< 0.1%
 
48440.1%
 
320550.2%
 
2153431.7%
 
1465205.2%
 
082620892.7%
 

D19_TELKO_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.428727555
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:47.652612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.34428937
Coefficient of variation (CV)0.1425737845
Kurtosis11.88464681
Mean9.428727555
Median Absolute Deviation (MAD)0
Skewness-3.248079154
Sum8403080
Variance1.807113911
MonotocityNot monotonic
2020-12-02T12:21:47.750569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1066579874.7%
 
911795013.2%
 
8424604.8%
 
5194922.2%
 
7181632.0%
 
6136191.5%
 
453140.6%
 
130790.3%
 
228180.3%
 
325280.3%
 
ValueCountFrequency (%) 
130790.3%
 
228180.3%
 
325280.3%
 
453140.6%
 
5194922.2%
 
6136191.5%
 
7181632.0%
 
8424604.8%
 
911795013.2%
 
1066579874.7%
 
ValueCountFrequency (%) 
1066579874.7%
 
911795013.2%
 
8424604.8%
 
7181632.0%
 
6136191.5%
 
5194922.2%
 
453140.6%
 
325280.3%
 
228180.3%
 
130790.3%
 

D19_TELKO_MOBILE
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.009936929
Minimum0
Maximum7
Zeros726804
Zeros (%)81.6%
Memory size6.8 MiB
2020-12-02T12:21:47.845543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.18710219
Coefficient of variation (CV)2.165582946
Kurtosis1.300496888
Mean1.009936929
Median Absolute Deviation (MAD)0
Skewness1.782552536
Sum900077
Variance4.78341599
MonotocityNot monotonic
2020-12-02T12:21:47.945485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
072680481.6%
 
611643313.1%
 
3164291.8%
 
5142571.6%
 
782220.9%
 
435730.4%
 
235580.4%
 
119450.2%
 
ValueCountFrequency (%) 
072680481.6%
 
119450.2%
 
235580.4%
 
3164291.8%
 
435730.4%
 
5142571.6%
 
611643313.1%
 
782220.9%
 
ValueCountFrequency (%) 
782220.9%
 
611643313.1%
 
5142571.6%
 
435730.4%
 
3164291.8%
 
235580.4%
 
119450.2%
 
072680481.6%
 

D19_TELKO_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.828039285
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:48.050241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7458518099
Coefficient of variation (CV)0.07589019419
Kurtosis45.54768099
Mean9.828039285
Median Absolute Deviation (MAD)0
Skewness-6.138606915
Sum8758955
Variance0.5562949223
MonotocityNot monotonic
2020-12-02T12:21:48.144119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1081911491.9%
 
9367074.1%
 
8186202.1%
 
563090.7%
 
639710.4%
 
735900.4%
 
411690.1%
 
16820.1%
 
25440.1%
 
35150.1%
 
ValueCountFrequency (%) 
16820.1%
 
25440.1%
 
35150.1%
 
411690.1%
 
563090.7%
 
639710.4%
 
735900.4%
 
8186202.1%
 
9367074.1%
 
1081911491.9%
 
ValueCountFrequency (%) 
1081911491.9%
 
9367074.1%
 
8186202.1%
 
735900.4%
 
639710.4%
 
563090.7%
 
411690.1%
 
35150.1%
 
25440.1%
 
16820.1%
 

D19_TELKO_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.981780052
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:48.257576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2410353717
Coefficient of variation (CV)0.02414753385
Kurtosis470.1718655
Mean9.981780052
Median Absolute Deviation (MAD)0
Skewness-19.38108225
Sum8895972
Variance0.05809805041
MonotocityNot monotonic
2020-12-02T12:21:48.339627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1088301899.1%
 
946640.5%
 
817280.2%
 
75660.1%
 
54960.1%
 
64570.1%
 
4114< 0.1%
 
168< 0.1%
 
364< 0.1%
 
246< 0.1%
 
ValueCountFrequency (%) 
168< 0.1%
 
246< 0.1%
 
364< 0.1%
 
4114< 0.1%
 
54960.1%
 
64570.1%
 
75660.1%
 
817280.2%
 
946640.5%
 
1088301899.1%
 
ValueCountFrequency (%) 
1088301899.1%
 
946640.5%
 
817280.2%
 
75660.1%
 
64570.1%
 
54960.1%
 
4114< 0.1%
 
364< 0.1%
 
246< 0.1%
 
168< 0.1%
 

D19_TELKO_ONLINE_QUOTE_12
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008723986531
Minimum0
Maximum10
Zeros890433
Zeros (%)99.9%
Memory size6.8 MiB
2020-12-02T12:21:48.442730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2942511708
Coefficient of variation (CV)33.72898041
Kurtosis1143.130256
Mean0.008723986531
Median Absolute Deviation (MAD)0
Skewness33.81170314
Sum7775
Variance0.08658375149
MonotocityNot monotonic
2020-12-02T12:21:48.535949image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
089043399.9%
 
107670.1%
 
519< 0.1%
 
71< 0.1%
 
31< 0.1%
 
ValueCountFrequency (%) 
089043399.9%
 
31< 0.1%
 
519< 0.1%
 
71< 0.1%
 
107670.1%
 
ValueCountFrequency (%) 
107670.1%
 
71< 0.1%
 
519< 0.1%
 
31< 0.1%
 
089043399.9%
 

D19_TELKO_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7799962075
Minimum0
Maximum7
Zeros765973
Zeros (%)85.9%
Memory size6.8 MiB
2020-12-02T12:21:48.627027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.969723658
Coefficient of variation (CV)2.525299019
Kurtosis2.971448125
Mean0.7799962075
Median Absolute Deviation (MAD)0
Skewness2.199683327
Sum695149
Variance3.879811288
MonotocityNot monotonic
2020-12-02T12:21:48.725101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
076597385.9%
 
6883469.9%
 
5153011.7%
 
3114671.3%
 
759050.7%
 
424020.3%
 
213970.2%
 
1430< 0.1%
 
ValueCountFrequency (%) 
076597385.9%
 
1430< 0.1%
 
213970.2%
 
3114671.3%
 
424020.3%
 
5153011.7%
 
6883469.9%
 
759050.7%
 
ValueCountFrequency (%) 
759050.7%
 
6883469.9%
 
5153011.7%
 
424020.3%
 
3114671.3%
 
213970.2%
 
1430< 0.1%
 
076597385.9%
 

D19_TIERARTIKEL
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2431776181
Minimum0
Maximum7
Zeros852220
Zeros (%)95.6%
Memory size6.8 MiB
2020-12-02T12:21:48.824558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.170808787
Coefficient of variation (CV)4.814623963
Kurtosis21.54744599
Mean0.2431776181
Median Absolute Deviation (MAD)0
Skewness4.788953418
Sum216725
Variance1.370793217
MonotocityNot monotonic
2020-12-02T12:21:48.929265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
085222095.6%
 
6201682.3%
 
779450.9%
 
360300.7%
 
538090.4%
 
25530.1%
 
44550.1%
 
141< 0.1%
 
ValueCountFrequency (%) 
085222095.6%
 
141< 0.1%
 
25530.1%
 
360300.7%
 
44550.1%
 
538090.4%
 
6201682.3%
 
779450.9%
 
ValueCountFrequency (%) 
779450.9%
 
6201682.3%
 
538090.4%
 
44550.1%
 
360300.7%
 
25530.1%
 
141< 0.1%
 
085222095.6%
 

D19_VERSAND_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6046457613
Minimum0
Maximum6
Zeros637972
Zeros (%)71.6%
Memory size6.8 MiB
2020-12-02T12:21:49.026757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.150455209
Coefficient of variation (CV)1.90269292
Kurtosis3.719617491
Mean0.6046457613
Median Absolute Deviation (MAD)0
Skewness2.062303928
Sum538873
Variance1.323547188
MonotocityNot monotonic
2020-12-02T12:21:49.131923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
063797271.6%
 
19657710.8%
 
2816169.2%
 
3342583.8%
 
4293933.3%
 
597121.1%
 
616930.2%
 
ValueCountFrequency (%) 
063797271.6%
 
19657710.8%
 
2816169.2%
 
3342583.8%
 
4293933.3%
 
597121.1%
 
616930.2%
 
ValueCountFrequency (%) 
616930.2%
 
597121.1%
 
4293933.3%
 
3342583.8%
 
2816169.2%
 
19657710.8%
 
063797271.6%
 

D19_VERSAND_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9588676658
Minimum0
Maximum6
Zeros563818
Zeros (%)63.3%
Memory size6.8 MiB
2020-12-02T12:21:49.227602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.529453274
Coefficient of variation (CV)1.595061893
Kurtosis1.273680426
Mean0.9588676658
Median Absolute Deviation (MAD)0
Skewness1.530627127
Sum854563
Variance2.339227319
MonotocityNot monotonic
2020-12-02T12:21:49.316320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
056381863.3%
 
29366610.5%
 
19025310.1%
 
4550166.2%
 
3478325.4%
 
5303983.4%
 
6102381.1%
 
ValueCountFrequency (%) 
056381863.3%
 
19025310.1%
 
29366610.5%
 
3478325.4%
 
4550166.2%
 
5303983.4%
 
6102381.1%
 
ValueCountFrequency (%) 
6102381.1%
 
5303983.4%
 
4550166.2%
 
3478325.4%
 
29366610.5%
 
19025310.1%
 
056381863.3%
 

D19_VERSAND_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.717379864
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:49.421978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median9
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.989552188
Coefficient of variation (CV)0.3873791676
Kurtosis-0.339375028
Mean7.717379864
Median Absolute Deviation (MAD)1
Skewness-1.040115424
Sum6877891
Variance8.937422284
MonotocityNot monotonic
2020-12-02T12:21:49.508272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1043788649.1%
 
910084611.3%
 
5785898.8%
 
1539216.1%
 
8503325.6%
 
2409944.6%
 
6371254.2%
 
4341573.8%
 
7321043.6%
 
3252672.8%
 
ValueCountFrequency (%) 
1539216.1%
 
2409944.6%
 
3252672.8%
 
4341573.8%
 
5785898.8%
 
6371254.2%
 
7321043.6%
 
8503325.6%
 
910084611.3%
 
1043788649.1%
 
ValueCountFrequency (%) 
1043788649.1%
 
910084611.3%
 
8503325.6%
 
7321043.6%
 
6371254.2%
 
5785898.8%
 
4341573.8%
 
3252672.8%
 
2409944.6%
 
1539216.1%
 

D19_VERSAND_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.326817927
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:49.595694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.456007075
Coefficient of variation (CV)0.156109735
Kurtosis9.697407283
Mean9.326817927
Median Absolute Deviation (MAD)0
Skewness-2.960151515
Sum8312256
Variance2.119956602
MonotocityNot monotonic
2020-12-02T12:21:49.681645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1063423371.2%
 
912406313.9%
 
8579076.5%
 
5226912.5%
 
7198552.2%
 
6155431.7%
 
453630.6%
 
248450.5%
 
134500.4%
 
332710.4%
 
ValueCountFrequency (%) 
134500.4%
 
248450.5%
 
332710.4%
 
453630.6%
 
5226912.5%
 
6155431.7%
 
7198552.2%
 
8579076.5%
 
912406313.9%
 
1063423371.2%
 
ValueCountFrequency (%) 
1063423371.2%
 
912406313.9%
 
8579076.5%
 
7198552.2%
 
6155431.7%
 
5226912.5%
 
453630.6%
 
332710.4%
 
248450.5%
 
134500.4%
 

D19_VERSAND_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.942473303
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:49.785026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.942631168
Coefficient of variation (CV)0.3704930511
Kurtosis-0.03562902018
Mean7.942473303
Median Absolute Deviation (MAD)0
Skewness-1.181770484
Sum7078499
Variance8.659078189
MonotocityNot monotonic
2020-12-02T12:21:49.879123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1049446455.5%
 
9825419.3%
 
5707817.9%
 
1498135.6%
 
8383304.3%
 
2370144.2%
 
6341433.8%
 
4315253.5%
 
7294543.3%
 
3231562.6%
 
ValueCountFrequency (%) 
1498135.6%
 
2370144.2%
 
3231562.6%
 
4315253.5%
 
5707817.9%
 
6341433.8%
 
7294543.3%
 
8383304.3%
 
9825419.3%
 
1049446455.5%
 
ValueCountFrequency (%) 
1049446455.5%
 
9825419.3%
 
8383304.3%
 
7294543.3%
 
6341433.8%
 
5707817.9%
 
4315253.5%
 
3231562.6%
 
2370144.2%
 
1498135.6%
 

D19_VERSAND_ONLINE_QUOTE_12
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.308428549
Minimum0
Maximum10
Zeros674480
Zeros (%)75.7%
Memory size6.8 MiB
2020-12-02T12:21:49.977772image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.138668151
Coefficient of variation (CV)1.792850878
Kurtosis-0.3475037351
Mean2.308428549
Median Absolute Deviation (MAD)0
Skewness1.269032651
Sum2057320
Variance17.12857406
MonotocityNot monotonic
2020-12-02T12:21:50.079941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
067448075.7%
 
1018765221.1%
 
580340.9%
 
864190.7%
 
749200.6%
 
939310.4%
 
326530.3%
 
610800.1%
 
27510.1%
 
47390.1%
 
15620.1%
 
ValueCountFrequency (%) 
067448075.7%
 
15620.1%
 
27510.1%
 
326530.3%
 
47390.1%
 
580340.9%
 
610800.1%
 
749200.6%
 
864190.7%
 
939310.4%
 
ValueCountFrequency (%) 
1018765221.1%
 
939310.4%
 
864190.7%
 
749200.6%
 
610800.1%
 
580340.9%
 
47390.1%
 
326530.3%
 
27510.1%
 
15620.1%
 

D19_VERSAND_REST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.829549573
Minimum0
Maximum7
Zeros734442
Zeros (%)82.4%
Memory size6.8 MiB
2020-12-02T12:21:50.180803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.912499309
Coefficient of variation (CV)2.305467173
Kurtosis2.63734736
Mean0.829549573
Median Absolute Deviation (MAD)0
Skewness2.070417007
Sum739312
Variance3.657653605
MonotocityNot monotonic
2020-12-02T12:21:50.268729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
073444282.4%
 
6692487.8%
 
3392514.4%
 
5252272.8%
 
275600.8%
 
757700.6%
 
449010.5%
 
148220.5%
 
ValueCountFrequency (%) 
073444282.4%
 
148220.5%
 
275600.8%
 
3392514.4%
 
449010.5%
 
5252272.8%
 
6692487.8%
 
757700.6%
 
ValueCountFrequency (%) 
757700.6%
 
6692487.8%
 
5252272.8%
 
449010.5%
 
3392514.4%
 
275600.8%
 
148220.5%
 
073444282.4%
 

D19_VERSI_ANZ_12
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1135969642
Minimum0
Maximum6
Zeros821289
Zeros (%)92.2%
Memory size6.8 MiB
2020-12-02T12:21:50.369849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4348766063
Coefficient of variation (CV)3.828241445
Kurtosis25.30603907
Mean0.1135969642
Median Absolute Deviation (MAD)0
Skewness4.631649786
Sum101240
Variance0.1891176627
MonotocityNot monotonic
2020-12-02T12:21:50.463279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
082128992.2%
 
1449335.0%
 
2202732.3%
 
333350.4%
 
412100.1%
 
5170< 0.1%
 
611< 0.1%
 
ValueCountFrequency (%) 
082128992.2%
 
1449335.0%
 
2202732.3%
 
333350.4%
 
412100.1%
 
5170< 0.1%
 
611< 0.1%
 
ValueCountFrequency (%) 
611< 0.1%
 
5170< 0.1%
 
412100.1%
 
333350.4%
 
2202732.3%
 
1449335.0%
 
082128992.2%
 

D19_VERSI_ANZ_24
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2069980398
Minimum0
Maximum6
Zeros777037
Zeros (%)87.2%
Memory size6.8 MiB
2020-12-02T12:21:50.567514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6170164979
Coefficient of variation (CV)2.980784256
Kurtosis14.56588033
Mean0.2069980398
Median Absolute Deviation (MAD)0
Skewness3.578597394
Sum184481
Variance0.3807093587
MonotocityNot monotonic
2020-12-02T12:21:50.670458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
077703787.2%
 
1633407.1%
 
2371444.2%
 
388481.0%
 
440480.5%
 
57070.1%
 
697< 0.1%
 
ValueCountFrequency (%) 
077703787.2%
 
1633407.1%
 
2371444.2%
 
388481.0%
 
440480.5%
 
57070.1%
 
697< 0.1%
 
ValueCountFrequency (%) 
697< 0.1%
 
57070.1%
 
440480.5%
 
388481.0%
 
2371444.2%
 
1633407.1%
 
077703787.2%
 

D19_VERSI_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.142562844
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:50.777671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.911185722
Coefficient of variation (CV)0.2090426672
Kurtosis6.061957322
Mean9.142562844
Median Absolute Deviation (MAD)0
Skewness-2.571540321
Sum8148044
Variance3.652630863
MonotocityNot monotonic
2020-12-02T12:21:50.892053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1066047874.1%
 
9802319.0%
 
8363284.1%
 
5290403.3%
 
6232362.6%
 
7210162.4%
 
2159161.8%
 
495931.1%
 
187601.0%
 
366230.7%
 
ValueCountFrequency (%) 
187601.0%
 
2159161.8%
 
366230.7%
 
495931.1%
 
5290403.3%
 
6232362.6%
 
7210162.4%
 
8363284.1%
 
9802319.0%
 
1066047874.1%
 
ValueCountFrequency (%) 
1066047874.1%
 
9802319.0%
 
8363284.1%
 
7210162.4%
 
6232362.6%
 
5290403.3%
 
495931.1%
 
366230.7%
 
2159161.8%
 
187601.0%
 

D19_VERSI_OFFLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.922648816
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:50.990082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5026652349
Coefficient of variation (CV)0.050658372
Kurtosis97.48171996
Mean9.922648816
Median Absolute Deviation (MAD)0
Skewness-9.035337778
Sum8843273
Variance0.2526723384
MonotocityNot monotonic
2020-12-02T12:21:51.097104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1085821296.3%
 
9179922.0%
 
870130.8%
 
533680.4%
 
719110.2%
 
615860.2%
 
45440.1%
 
2207< 0.1%
 
3205< 0.1%
 
1183< 0.1%
 
ValueCountFrequency (%) 
1183< 0.1%
 
2207< 0.1%
 
3205< 0.1%
 
45440.1%
 
533680.4%
 
615860.2%
 
719110.2%
 
870130.8%
 
9179922.0%
 
1085821296.3%
 
ValueCountFrequency (%) 
1085821296.3%
 
9179922.0%
 
870130.8%
 
719110.2%
 
615860.2%
 
533680.4%
 
45440.1%
 
3205< 0.1%
 
2207< 0.1%
 
1183< 0.1%
 

D19_VERSI_ONLINE_DATUM
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.976711725
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:51.182497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3111910919
Coefficient of variation (CV)0.0311917494
Kurtosis330.6294738
Mean9.976711725
Median Absolute Deviation (MAD)0
Skewness-16.95221773
Sum8891455
Variance0.0968398957
MonotocityNot monotonic
2020-12-02T12:21:51.279380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1088382699.2%
 
927660.3%
 
812540.1%
 
710450.1%
 
59820.1%
 
66840.1%
 
4292< 0.1%
 
2136< 0.1%
 
3132< 0.1%
 
1104< 0.1%
 
ValueCountFrequency (%) 
1104< 0.1%
 
2136< 0.1%
 
3132< 0.1%
 
4292< 0.1%
 
59820.1%
 
66840.1%
 
710450.1%
 
812540.1%
 
927660.3%
 
1088382699.2%
 
ValueCountFrequency (%) 
1088382699.2%
 
927660.3%
 
812540.1%
 
710450.1%
 
66840.1%
 
59820.1%
 
4292< 0.1%
 
3132< 0.1%
 
2136< 0.1%
 
1104< 0.1%
 

D19_VERSI_ONLINE_QUOTE_12
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01794953216
Minimum0
Maximum10
Zeros889575
Zeros (%)99.8%
Memory size6.8 MiB
2020-12-02T12:21:51.369275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.420230564
Coefficient of variation (CV)23.41178368
Kurtosis553.6646795
Mean0.01794953216
Median Absolute Deviation (MAD)0
Skewness23.53137374
Sum15997
Variance0.176593727
MonotocityNot monotonic
2020-12-02T12:21:51.484012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
088957599.8%
 
1015480.2%
 
570< 0.1%
 
711< 0.1%
 
39< 0.1%
 
86< 0.1%
 
61< 0.1%
 
91< 0.1%
 
ValueCountFrequency (%) 
088957599.8%
 
39< 0.1%
 
570< 0.1%
 
61< 0.1%
 
711< 0.1%
 
86< 0.1%
 
91< 0.1%
 
1015480.2%
 
ValueCountFrequency (%) 
1015480.2%
 
91< 0.1%
 
86< 0.1%
 
711< 0.1%
 
61< 0.1%
 
570< 0.1%
 
39< 0.1%
 
088957599.8%
 

D19_VERSICHERUNGEN
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.259786293
Minimum0
Maximum7
Zeros654664
Zeros (%)73.5%
Memory size6.8 MiB
2020-12-02T12:21:51.565881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.253954199
Coefficient of variation (CV)1.789155995
Kurtosis0.2188703704
Mean1.259786293
Median Absolute Deviation (MAD)0
Skewness1.405449114
Sum1122748
Variance5.08030953
MonotocityNot monotonic
2020-12-02T12:21:51.662834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
065466473.5%
 
611655913.1%
 
3449335.0%
 
5309983.5%
 
2148921.7%
 
4132541.5%
 
1101071.1%
 
758140.7%
 
ValueCountFrequency (%) 
065466473.5%
 
1101071.1%
 
2148921.7%
 
3449335.0%
 
4132541.5%
 
5309983.5%
 
611655913.1%
 
758140.7%
 
ValueCountFrequency (%) 
758140.7%
 
611655913.1%
 
5309983.5%
 
4132541.5%
 
3449335.0%
 
2148921.7%
 
1101071.1%
 
065466473.5%
 

D19_VOLLSORTIMENT
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.728497197
Minimum0
Maximum7
Zeros600002
Zeros (%)67.3%
Memory size6.8 MiB
2020-12-02T12:21:51.758993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.605193077
Coefficient of variation (CV)1.507201216
Kurtosis-0.9302481604
Mean1.728497197
Median Absolute Deviation (MAD)0
Skewness0.9580696057
Sum1540473
Variance6.787030967
MonotocityNot monotonic
2020-12-02T12:21:51.851936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
060000267.3%
 
617362619.5%
 
3445895.0%
 
5313033.5%
 
7232312.6%
 
282500.9%
 
463660.7%
 
138540.4%
 
ValueCountFrequency (%) 
060000267.3%
 
138540.4%
 
282500.9%
 
3445895.0%
 
463660.7%
 
5313033.5%
 
617362619.5%
 
7232312.6%
 
ValueCountFrequency (%) 
7232312.6%
 
617362619.5%
 
5313033.5%
 
463660.7%
 
3445895.0%
 
282500.9%
 
138540.4%
 
060000267.3%
 

D19_WEIN_FEINKOST
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3775146681
Minimum0
Maximum7
Zeros836142
Zeros (%)93.8%
Memory size6.8 MiB
2020-12-02T12:21:51.971489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.493150872
Coefficient of variation (CV)3.955212865
Kurtosis12.5432718
Mean0.3775146681
Median Absolute Deviation (MAD)0
Skewness3.781988175
Sum336449
Variance2.229499526
MonotocityNot monotonic
2020-12-02T12:21:52.085788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
083614293.8%
 
6275563.1%
 
7206652.3%
 
334600.4%
 
529520.3%
 
4231< 0.1%
 
2179< 0.1%
 
136< 0.1%
 
ValueCountFrequency (%) 
083614293.8%
 
136< 0.1%
 
2179< 0.1%
 
334600.4%
 
4231< 0.1%
 
529520.3%
 
6275563.1%
 
7206652.3%
 
ValueCountFrequency (%) 
7206652.3%
 
6275563.1%
 
529520.3%
 
4231< 0.1%
 
334600.4%
 
2179< 0.1%
 
136< 0.1%
 
083614293.8%
 

DSL_FLAG
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
865536 
0
 
25685
ValueCountFrequency (%) 
186553697.1%
 
0256852.9%
 

EINGEZOGENAM_HH_JAHR
Real number (ℝ≥0)

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2002.926705
Minimum1900
Maximum2018
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:52.207968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile1994
Q11996
median2002
Q32009
95-th percentile2015
Maximum2018
Range118
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.271322016
Coefficient of variation (CV)0.003630348528
Kurtosis-1.194915803
Mean2002.926705
Median Absolute Deviation (MAD)6
Skewness0.2663910272
Sum1785050341
Variance52.87212386
MonotocityNot monotonic
2020-12-02T12:21:52.360558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
199418493820.8%
 
1997662597.4%
 
2015459265.2%
 
2004451035.1%
 
2014439924.9%
 
2001414404.6%
 
2008349593.9%
 
2005347143.9%
 
2002345473.9%
 
2012335803.8%
 
2000322673.6%
 
1999319913.6%
 
2007311053.5%
 
2013309823.5%
 
1998295903.3%
 
2011259732.9%
 
2009228862.6%
 
1996220392.5%
 
2003217162.4%
 
2006213782.4%
 
2010212402.4%
 
1995181952.0%
 
2016136991.5%
 
19938710.1%
 
20185650.1%
 
Other values (12)12660.1%
 
ValueCountFrequency (%) 
19001< 0.1%
 
19041< 0.1%
 
19711< 0.1%
 
19841< 0.1%
 
19868< 0.1%
 
198719< 0.1%
 
198828< 0.1%
 
198972< 0.1%
 
1990158< 0.1%
 
1991205< 0.1%
 
ValueCountFrequency (%) 
20185650.1%
 
2017208< 0.1%
 
2016136991.5%
 
2015459265.2%
 
2014439924.9%
 
2013309823.5%
 
2012335803.8%
 
2011259732.9%
 
2010212402.4%
 
2009228862.6%
 

EWDICHTE
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.155933265
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:52.478842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.744666765
Coefficient of variation (CV)0.4198014389
Kurtosis-1.186019812
Mean4.155933265
Median Absolute Deviation (MAD)1
Skewness-0.468362856
Sum3703855
Variance3.04386212
MonotocityNot monotonic
2020-12-02T12:21:52.585154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
629474933.1%
 
516120918.1%
 
213908715.6%
 
413071614.7%
 
1840519.4%
 
3814099.1%
 
ValueCountFrequency (%) 
1840519.4%
 
213908715.6%
 
3814099.1%
 
413071614.7%
 
516120918.1%
 
629474933.1%
 
ValueCountFrequency (%) 
629474933.1%
 
516120918.1%
 
413071614.7%
 
3814099.1%
 
213908715.6%
 
1840519.4%
 

FINANZ_ANLEGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.033328434
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:52.686088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.529602515
Coefficient of variation (CV)0.5042653801
Kurtosis-1.478883143
Mean3.033328434
Median Absolute Deviation (MAD)1
Skewness-0.01148797371
Sum2703366
Variance2.339683855
MonotocityNot monotonic
2020-12-02T12:21:52.773482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
523450826.3%
 
121081223.7%
 
216128618.1%
 
414359716.1%
 
314101815.8%
 
ValueCountFrequency (%) 
121081223.7%
 
216128618.1%
 
314101815.8%
 
414359716.1%
 
523450826.3%
 
ValueCountFrequency (%) 
523450826.3%
 
414359716.1%
 
314101815.8%
 
216128618.1%
 
121081223.7%
 

FINANZ_HAUSBAUER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.075120537
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:52.868796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.353248108
Coefficient of variation (CV)0.4400634355
Kurtosis-1.152085532
Mean3.075120537
Median Absolute Deviation (MAD)1
Skewness-0.02551465987
Sum2740612
Variance1.831280442
MonotocityNot monotonic
2020-12-02T12:21:52.968360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
323518426.4%
 
518391820.6%
 
217184719.3%
 
415716817.6%
 
114310416.1%
 
ValueCountFrequency (%) 
114310416.1%
 
217184719.3%
 
323518426.4%
 
415716817.6%
 
518391820.6%
 
ValueCountFrequency (%) 
518391820.6%
 
415716817.6%
 
323518426.4%
 
217184719.3%
 
114310416.1%
 

FINANZ_MINIMALIST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.074528091
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:53.069787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.321054925
Coefficient of variation (CV)0.4296772987
Kurtosis-1.068995334
Mean3.074528091
Median Absolute Deviation (MAD)1
Skewness-0.05160997378
Sum2740084
Variance1.745186115
MonotocityNot monotonic
2020-12-02T12:21:53.169891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
325627628.8%
 
516886318.9%
 
416718218.8%
 
215931317.9%
 
113958715.7%
 
ValueCountFrequency (%) 
113958715.7%
 
215931317.9%
 
325627628.8%
 
416718218.8%
 
516886318.9%
 
ValueCountFrequency (%) 
516886318.9%
 
416718218.8%
 
325627628.8%
 
215931317.9%
 
113958715.7%
 

FINANZ_SPARER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.821038777
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:53.261207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.464748804
Coefficient of variation (CV)0.519223208
Kurtosis-1.41317134
Mean2.821038777
Median Absolute Deviation (MAD)1
Skewness0.08897381631
Sum2514169
Variance2.145489059
MonotocityNot monotonic
2020-12-02T12:21:53.356256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
125021328.1%
 
420122322.6%
 
215305117.2%
 
514638016.4%
 
314035415.7%
 
ValueCountFrequency (%) 
125021328.1%
 
215305117.2%
 
314035415.7%
 
420122322.6%
 
514638016.4%
 
ValueCountFrequency (%) 
514638016.4%
 
420122322.6%
 
314035415.7%
 
215305117.2%
 
125021328.1%
 

FINANZ_UNAUFFAELLIGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.874167014
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:53.468866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.486731128
Coefficient of variation (CV)0.5172737428
Kurtosis-1.367426978
Mean2.874167014
Median Absolute Deviation (MAD)1
Skewness0.1751603062
Sum2561518
Variance2.210369448
MonotocityNot monotonic
2020-12-02T12:21:53.559577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
122059724.8%
 
520055122.5%
 
218574920.8%
 
317062819.1%
 
411369612.8%
 
ValueCountFrequency (%) 
122059724.8%
 
218574920.8%
 
317062819.1%
 
411369612.8%
 
520055122.5%
 
ValueCountFrequency (%) 
520055122.5%
 
411369612.8%
 
317062819.1%
 
218574920.8%
 
122059724.8%
 

FINANZ_VORSORGER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.401105899
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:53.659270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.322134154
Coefficient of variation (CV)0.3887365445
Kurtosis-0.9682562328
Mean3.401105899
Median Absolute Deviation (MAD)1
Skewness-0.3628209658
Sum3031137
Variance1.748038722
MonotocityNot monotonic
2020-12-02T12:21:53.769725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
524226227.2%
 
322984225.8%
 
419821822.2%
 
211653013.1%
 
110436911.7%
 
ValueCountFrequency (%) 
110436911.7%
 
211653013.1%
 
322984225.8%
 
419821822.2%
 
524226227.2%
 
ValueCountFrequency (%) 
524226227.2%
 
419821822.2%
 
322984225.8%
 
211653013.1%
 
110436911.7%
 

FINANZTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.790586173
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:53.870859image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.987875961
Coefficient of variation (CV)0.5244244216
Kurtosis-1.533410771
Mean3.790586173
Median Absolute Deviation (MAD)2
Skewness-0.2397764052
Sum3378250
Variance3.951650838
MonotocityNot monotonic
2020-12-02T12:21:53.967250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
629036732.6%
 
119957222.4%
 
413062514.7%
 
211086712.4%
 
510643611.9%
 
3533546.0%
 
ValueCountFrequency (%) 
119957222.4%
 
211086712.4%
 
3533546.0%
 
413062514.7%
 
510643611.9%
 
629036732.6%
 
ValueCountFrequency (%) 
629036732.6%
 
510643611.9%
 
413062514.7%
 
3533546.0%
 
211086712.4%
 
119957222.4%
 

FIRMENDICHTE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.512887376
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:54.052251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.104086405
Coefficient of variation (CV)0.3142959871
Kurtosis-0.4961364965
Mean3.512887376
Median Absolute Deviation (MAD)1
Skewness-0.5390719358
Sum3130759
Variance1.219006791
MonotocityNot monotonic
2020-12-02T12:21:54.141163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
436679241.2%
 
318160820.4%
 
515921717.9%
 
213907815.6%
 
1445265.0%
 
ValueCountFrequency (%) 
1445265.0%
 
213907815.6%
 
318160820.4%
 
436679241.2%
 
515921717.9%
 
ValueCountFrequency (%) 
515921717.9%
 
436679241.2%
 
318160820.4%
 
213907815.6%
 
1445265.0%
 

GEBAEUDETYP
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.610652128
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:54.241411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.573560668
Coefficient of variation (CV)0.9857922624
Kurtosis0.3878525786
Mean2.610652128
Median Absolute Deviation (MAD)0
Skewness1.421285312
Sum2326668
Variance6.623214509
MonotocityNot monotonic
2020-12-02T12:21:54.351348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
155361362.1%
 
317866820.0%
 
815247617.1%
 
249350.6%
 
49000.1%
 
66280.1%
 
51< 0.1%
 
ValueCountFrequency (%) 
155361362.1%
 
249350.6%
 
317866820.0%
 
49000.1%
 
51< 0.1%
 
66280.1%
 
815247617.1%
 
ValueCountFrequency (%) 
815247617.1%
 
66280.1%
 
51< 0.1%
 
49000.1%
 
317866820.0%
 
249350.6%
 
155361362.1%
 

GEBAEUDETYP_RASTER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.765659696
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:54.445008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8772738278
Coefficient of variation (CV)0.2329668368
Kurtosis0.577669546
Mean3.765659696
Median Absolute Deviation (MAD)0
Skewness-0.7104084591
Sum3356035
Variance0.769609369
MonotocityNot monotonic
2020-12-02T12:21:54.544869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
445277550.8%
 
320533023.0%
 
515921717.9%
 
2589616.6%
 
1149381.7%
 
ValueCountFrequency (%) 
1149381.7%
 
2589616.6%
 
320533023.0%
 
445277550.8%
 
515921717.9%
 
ValueCountFrequency (%) 
515921717.9%
 
445277550.8%
 
320533023.0%
 
2589616.6%
 
1149381.7%
 

GEBURTSJAHR
Real number (ℝ≥0)

ZEROS

Distinct117
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1101.178533
Minimum0
Maximum2017
Zeros392318
Zeros (%)44.0%
Memory size6.8 MiB
2020-12-02T12:21:54.676902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1943
Q31970
95-th percentile1990
Maximum2017
Range2017
Interquartile range (IQR)1970

Descriptive statistics

Standard deviation976.5835513
Coefficient of variation (CV)0.88685306
Kurtosis-1.941480575
Mean1101.178533
Median Absolute Deviation (MAD)46
Skewness-0.240357039
Sum981393433
Variance953715.4326
MonotocityNot monotonic
2020-12-02T12:21:54.833068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
039231844.0%
 
1967111831.3%
 
1965110901.2%
 
1966109331.2%
 
1970108831.2%
 
1964107991.2%
 
1968107921.2%
 
1963105131.2%
 
1969103601.2%
 
1980102751.2%
 
1962100821.1%
 
196198801.1%
 
197197861.1%
 
198295161.1%
 
197895091.1%
 
196094921.1%
 
197994221.1%
 
198193741.1%
 
197792961.0%
 
195990981.0%
 
197290271.0%
 
197690051.0%
 
198388871.0%
 
197486761.0%
 
198485531.0%
 
Other values (92)26247229.5%
 
ValueCountFrequency (%) 
039231844.0%
 
19004< 0.1%
 
19021< 0.1%
 
19045< 0.1%
 
19058< 0.1%
 
19067< 0.1%
 
19074< 0.1%
 
19087< 0.1%
 
19097< 0.1%
 
191041< 0.1%
 
ValueCountFrequency (%) 
20175930.1%
 
2016167< 0.1%
 
2015257< 0.1%
 
2014124< 0.1%
 
2013380< 0.1%
 
20128060.1%
 
20114850.1%
 
20105450.1%
 
20095590.1%
 
20085500.1%
 

GEMEINDETYP
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.94807124
Minimum11
Maximum50
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:54.963329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q112
median22
Q330
95-th percentile50
Maximum50
Range39
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.38237034
Coefficient of variation (CV)0.4752938232
Kurtosis-0.4130505386
Mean23.94807124
Median Absolute Deviation (MAD)10
Skewness0.6946211268
Sum21343024
Variance129.5583545
MonotocityNot monotonic
2020-12-02T12:21:55.067146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
2224858127.9%
 
1115071516.9%
 
4012557114.1%
 
3012240613.7%
 
1212014513.5%
 
21727778.2%
 
50510265.7%
 
ValueCountFrequency (%) 
1115071516.9%
 
1212014513.5%
 
21727778.2%
 
2224858127.9%
 
3012240613.7%
 
4012557114.1%
 
50510265.7%
 
ValueCountFrequency (%) 
50510265.7%
 
4012557114.1%
 
3012240613.7%
 
2224858127.9%
 
21727778.2%
 
1212014513.5%
 
1115071516.9%
 

GFK_URLAUBERTYP
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.375628492
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:55.178490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q311
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.532722769
Coefficient of variation (CV)0.4789724391
Kurtosis-1.23322582
Mean7.375628492
Median Absolute Deviation (MAD)3
Skewness-0.2479637299
Sum6573315
Variance12.48013016
MonotocityNot monotonic
2020-12-02T12:21:55.276065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
1214339916.1%
 
512012613.5%
 
1010912712.2%
 
8880429.9%
 
11797408.9%
 
4637707.2%
 
9606146.8%
 
3560076.3%
 
1536006.0%
 
2467025.2%
 
7429564.8%
 
6271383.0%
 
ValueCountFrequency (%) 
1536006.0%
 
2467025.2%
 
3560076.3%
 
4637707.2%
 
512012613.5%
 
6271383.0%
 
7429564.8%
 
8880429.9%
 
9606146.8%
 
1010912712.2%
 
ValueCountFrequency (%) 
1214339916.1%
 
11797408.9%
 
1010912712.2%
 
9606146.8%
 
8880429.9%
 
7429564.8%
 
6271383.0%
 
512012613.5%
 
4637707.2%
 
3560076.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
715996 
1
175225 
ValueCountFrequency (%) 
071599680.3%
 
117522519.7%
 

HEALTH_TYP
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
3
421889 
2
306944 
1
162388 
ValueCountFrequency (%) 
342188947.3%
 
230694434.4%
 
116238818.2%
 
2020-12-02T12:21:55.392101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
342188915.8%
 
230694411.5%
 
11623886.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
342188923.7%
 
230694417.2%
 
11623889.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
342188915.8%
 
230694411.5%
 
11623886.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
342188915.8%
 
230694411.5%
 
11623886.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
818544 
1
 
72677
ValueCountFrequency (%) 
081854491.8%
 
1726778.2%
 

HH_EINKOMMEN_SCORE
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.244151563
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:55.486738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.62728791
Coefficient of variation (CV)0.3834188968
Kurtosis-1.029533491
Mean4.244151563
Median Absolute Deviation (MAD)1
Skewness-0.525910437
Sum3782477
Variance2.648065942
MonotocityNot monotonic
2020-12-02T12:21:55.579883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
627112330.4%
 
520148222.6%
 
214081715.8%
 
413976215.7%
 
3848059.5%
 
1532326.0%
 
ValueCountFrequency (%) 
1532326.0%
 
214081715.8%
 
3848059.5%
 
413976215.7%
 
520148222.6%
 
627112330.4%
 
ValueCountFrequency (%) 
627112330.4%
 
520148222.6%
 
413976215.7%
 
3848059.5%
 
214081715.8%
 
1532326.0%
 

INNENSTADT
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.596876645
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:55.665458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.924222841
Coefficient of variation (CV)0.4185935343
Kurtosis-0.702375826
Mean4.596876645
Median Absolute Deviation (MAD)1
Skewness-0.03230665454
Sum4096833
Variance3.702633543
MonotocityNot monotonic
2020-12-02T12:21:55.765912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
524136627.1%
 
413406715.0%
 
611167912.5%
 
210904812.2%
 
39281810.4%
 
8828709.3%
 
7674637.6%
 
1519105.8%
 
ValueCountFrequency (%) 
1519105.8%
 
210904812.2%
 
39281810.4%
 
413406715.0%
 
524136627.1%
 
611167912.5%
 
7674637.6%
 
8828709.3%
 
ValueCountFrequency (%) 
8828709.3%
 
7674637.6%
 
611167912.5%
 
524136627.1%
 
413406715.0%
 
39281810.4%
 
210904812.2%
 
1519105.8%
 

KBA05_ALTER1
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.944513202
Minimum0
Maximum4
Zeros102789
Zeros (%)11.5%
Memory size6.8 MiB
2020-12-02T12:21:55.876518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.088360275
Coefficient of variation (CV)0.5597083496
Kurtosis-0.4326633209
Mean1.944513202
Median Absolute Deviation (MAD)1
Skewness-0.01668707482
Sum1732991
Variance1.184528088
MonotocityNot monotonic
2020-12-02T12:21:55.970939image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
237673542.3%
 
116704618.7%
 
316612918.6%
 
010278911.5%
 
4785228.8%
 
ValueCountFrequency (%) 
010278911.5%
 
116704618.7%
 
237673542.3%
 
316612918.6%
 
4785228.8%
 
ValueCountFrequency (%) 
4785228.8%
 
316612918.6%
 
237673542.3%
 
116704618.7%
 
010278911.5%
 

KBA05_ALTER2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.027519549
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:56.069148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9720742579
Coefficient of variation (CV)0.3210794322
Kurtosis-0.00268079413
Mean3.027519549
Median Absolute Deviation (MAD)1
Skewness0.05642859036
Sum2698189
Variance0.9449283629
MonotocityNot monotonic
2020-12-02T12:21:56.177948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343621748.9%
 
216580618.6%
 
415992817.9%
 
5722368.1%
 
1570346.4%
 
ValueCountFrequency (%) 
1570346.4%
 
216580618.6%
 
343621748.9%
 
415992817.9%
 
5722368.1%
 
ValueCountFrequency (%) 
5722368.1%
 
415992817.9%
 
343621748.9%
 
216580618.6%
 
1570346.4%
 

KBA05_ALTER3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.995867467
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:21:56.291799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9811237556
Coefficient of variation (CV)0.3274923762
Kurtosis0.01136359843
Mean2.995867467
Median Absolute Deviation (MAD)1
Skewness0.004197311293
Sum2669980
Variance0.9626038238
MonotocityNot monotonic
2020-12-02T12:21:56.384508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344054649.4%
 
215873717.8%
 
415619417.5%
 
1681577.6%
 
5675877.6%
 
ValueCountFrequency (%) 
1681577.6%
 
215873717.8%
 
344054649.4%
 
415619417.5%
 
5675877.6%
 
ValueCountFrequency (%) 
5675877.6%
 
415619417.5%
 
344054649.4%
 
215873717.8%
 
1681577.6%
 

KBA05_ALTER4
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.831988923
Minimum0
Maximum5
Zeros50127
Zeros (%)5.6%
Memory size6.8 MiB
2020-12-02T12:21:56.482676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.137705519
Coefficient of variation (CV)0.4017337462
Kurtosis0.6173653768
Mean2.831988923
Median Absolute Deviation (MAD)0
Skewness-0.5955460159
Sum2523928
Variance1.294373849
MonotocityNot monotonic
2020-12-02T12:21:56.571327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
344719550.2%
 
414407316.2%
 
213859715.6%
 
1568226.4%
 
5544076.1%
 
0501275.6%
 
ValueCountFrequency (%) 
0501275.6%
 
1568226.4%
 
213859715.6%
 
344719550.2%
 
414407316.2%
 
5544076.1%
 
ValueCountFrequency (%) 
5544076.1%
 
414407316.2%
 
344719550.2%
 
213859715.6%
 
1568226.4%
 
0501275.6%
 

KBA05_ANHANG
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
470673 
0
266145 
3
81525 
2
72878 
ValueCountFrequency (%) 
147067352.8%
 
026614529.9%
 
3815259.1%
 
2728788.2%
 
2020-12-02T12:21:56.676978image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0115736643.3%
 
.89122133.3%
 
147067317.6%
 
3815253.0%
 
2728782.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0115736664.9%
 
147067326.4%
 
3815254.6%
 
2728784.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0115736643.3%
 
.89122133.3%
 
147067317.6%
 
3815253.0%
 
2728782.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0115736643.3%
 
.89122133.3%
 
147067317.6%
 
3815253.0%
 
2728782.7%
 

KBA05_ANTG1
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.270737561
Minimum0
Maximum4
Zeros394373
Zeros (%)44.3%
Memory size6.8 MiB
2020-12-02T12:21:56.789902image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.400105127
Coefficient of variation (CV)1.101805101
Kurtosis-0.9049794081
Mean1.270737561
Median Absolute Deviation (MAD)1
Skewness0.6943765328
Sum1132508
Variance1.960294367
MonotocityNot monotonic
2020-12-02T12:21:56.895113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
039437344.3%
 
116122418.1%
 
212672514.2%
 
311776213.2%
 
49113710.2%
 
ValueCountFrequency (%) 
039437344.3%
 
116122418.1%
 
212672514.2%
 
311776213.2%
 
49113710.2%
 
ValueCountFrequency (%) 
49113710.2%
 
311776213.2%
 
212672514.2%
 
116122418.1%
 
039437344.3%
 

KBA05_ANTG2
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.076256058
Minimum0
Maximum4
Zeros425862
Zeros (%)47.8%
Memory size6.8 MiB
2020-12-02T12:21:57.001675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.233809927
Coefficient of variation (CV)1.146390692
Kurtosis-0.7611168397
Mean1.076256058
Median Absolute Deviation (MAD)1
Skewness0.7509707786
Sum959182
Variance1.522286935
MonotocityNot monotonic
2020-12-02T12:21:57.137458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
042586247.8%
 
116375118.4%
 
213827315.5%
 
313445515.1%
 
4288803.2%
 
ValueCountFrequency (%) 
042586247.8%
 
116375118.4%
 
213827315.5%
 
313445515.1%
 
4288803.2%
 
ValueCountFrequency (%) 
4288803.2%
 
313445515.1%
 
213827315.5%
 
116375118.4%
 
042586247.8%
 

KBA05_ANTG3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
644869 
1
92748 
2
80234 
3
73370 
ValueCountFrequency (%) 
064486972.4%
 
19274810.4%
 
2802349.0%
 
3733708.2%
 
2020-12-02T12:22:07.180477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0153609057.5%
 
.89122133.3%
 
1927483.5%
 
2802343.0%
 
3733702.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0153609086.2%
 
1927485.2%
 
2802344.5%
 
3733704.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0153609057.5%
 
.89122133.3%
 
1927483.5%
 
2802343.0%
 
3733702.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0153609057.5%
 
.89122133.3%
 
1927483.5%
 
2802343.0%
 
3733702.7%
 

KBA05_ANTG4
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
733495 
1
83591 
2
74135 
ValueCountFrequency (%) 
073349582.3%
 
1835919.4%
 
2741358.3%
 
2020-12-02T12:22:07.283070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0162471660.8%
 
.89122133.3%
 
1835913.1%
 
2741352.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0162471691.2%
 
1835914.7%
 
2741354.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0162471660.8%
 
.89122133.3%
 
1835913.1%
 
2741352.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0162471660.8%
 
.89122133.3%
 
1835913.1%
 
2741352.8%
 

KBA05_AUTOQUOT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.077300692
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:07.377795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.049143976
Coefficient of variation (CV)0.3409299515
Kurtosis-0.2147530929
Mean3.077300692
Median Absolute Deviation (MAD)1
Skewness-0.161770655
Sum2742555
Variance1.100703082
MonotocityNot monotonic
2020-12-02T12:22:07.470284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
340612845.6%
 
419470621.8%
 
212332013.8%
 
1841579.4%
 
5829109.3%
 
ValueCountFrequency (%) 
1841579.4%
 
212332013.8%
 
340612845.6%
 
419470621.8%
 
5829109.3%
 
ValueCountFrequency (%) 
5829109.3%
 
419470621.8%
 
340612845.6%
 
212332013.8%
 
1841579.4%
 

KBA05_CCM1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.970574078
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:07.564076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9782452815
Coefficient of variation (CV)0.3293118623
Kurtosis0.008779873081
Mean2.970574078
Median Absolute Deviation (MAD)1
Skewness0.04407087399
Sum2647438
Variance0.9569638307
MonotocityNot monotonic
2020-12-02T12:22:07.664730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343811149.2%
 
217086019.2%
 
414874116.7%
 
1677817.6%
 
5657287.4%
 
ValueCountFrequency (%) 
1677817.6%
 
217086019.2%
 
343811149.2%
 
414874116.7%
 
5657287.4%
 
ValueCountFrequency (%) 
5657287.4%
 
414874116.7%
 
343811149.2%
 
217086019.2%
 
1677817.6%
 

KBA05_CCM2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.99855928
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:07.755021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9501842949
Coefficient of variation (CV)0.3168802769
Kurtosis0.1039901643
Mean2.99855928
Median Absolute Deviation (MAD)0
Skewness-0.02387568507
Sum2672379
Variance0.9028501942
MonotocityNot monotonic
2020-12-02T12:22:07.847963image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344918550.4%
 
416335018.3%
 
215781817.7%
 
1621387.0%
 
5587306.6%
 
ValueCountFrequency (%) 
1621387.0%
 
215781817.7%
 
344918550.4%
 
416335018.3%
 
5587306.6%
 
ValueCountFrequency (%) 
5587306.6%
 
416335018.3%
 
344918550.4%
 
215781817.7%
 
1621387.0%
 

KBA05_CCM3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.023320815
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:07.947984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9863372316
Coefficient of variation (CV)0.326242993
Kurtosis-0.02734646116
Mean3.023320815
Median Absolute Deviation (MAD)1
Skewness-0.01691454809
Sum2694447
Variance0.9728611344
MonotocityNot monotonic
2020-12-02T12:22:08.036860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343405248.7%
 
416634818.7%
 
215403817.3%
 
5705107.9%
 
1662737.4%
 
ValueCountFrequency (%) 
1662737.4%
 
215403817.3%
 
343405248.7%
 
416634818.7%
 
5705107.9%
 
ValueCountFrequency (%) 
5705107.9%
 
416634818.7%
 
343405248.7%
 
215403817.3%
 
1662737.4%
 

KBA05_CCM4
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.006090521
Minimum0
Maximum4
Zeros422174
Zeros (%)47.4%
Memory size6.8 MiB
2020-12-02T12:22:08.126838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.203485537
Coefficient of variation (CV)1.196200056
Kurtosis-0.00402752885
Mean1.006090521
Median Absolute Deviation (MAD)1
Skewness1.022798568
Sum896649
Variance1.448377438
MonotocityNot monotonic
2020-12-02T12:22:08.221563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
042217447.4%
 
121468224.1%
 
212843114.4%
 
3786318.8%
 
4473035.3%
 
ValueCountFrequency (%) 
042217447.4%
 
121468224.1%
 
212843114.4%
 
3786318.8%
 
4473035.3%
 
ValueCountFrequency (%) 
4473035.3%
 
3786318.8%
 
212843114.4%
 
121468224.1%
 
042217447.4%
 

KBA05_DIESEL
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.009613777
Minimum0
Maximum4
Zeros64600
Zeros (%)7.2%
Memory size6.8 MiB
2020-12-02T12:22:08.317967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9688290748
Coefficient of variation (CV)0.4820971501
Kurtosis0.04279172288
Mean2.009613777
Median Absolute Deviation (MAD)1
Skewness-0.01793242138
Sum1791010
Variance0.9386297762
MonotocityNot monotonic
2020-12-02T12:22:08.404523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
244272649.7%
 
316367518.4%
 
115544917.4%
 
4647717.3%
 
0646007.2%
 
ValueCountFrequency (%) 
0646007.2%
 
115544917.4%
 
244272649.7%
 
316367518.4%
 
4647717.3%
 
ValueCountFrequency (%) 
4647717.3%
 
316367518.4%
 
244272649.7%
 
115544917.4%
 
0646007.2%
 

KBA05_FRAU
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.994019441
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:08.496863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9810084372
Coefficient of variation (CV)0.3276560011
Kurtosis0.06418328441
Mean2.994019441
Median Absolute Deviation (MAD)0
Skewness0.01852222762
Sum2668333
Variance0.9623775539
MonotocityNot monotonic
2020-12-02T12:22:08.582536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345133050.6%
 
215389317.3%
 
414672116.5%
 
5700997.9%
 
1691787.8%
 
ValueCountFrequency (%) 
1691787.8%
 
215389317.3%
 
345133050.6%
 
414672116.5%
 
5700997.9%
 
ValueCountFrequency (%) 
5700997.9%
 
414672116.5%
 
345133050.6%
 
215389317.3%
 
1691787.8%
 

KBA05_GBZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.134856562
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:08.681759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.227367306
Coefficient of variation (CV)0.3915226366
Kurtosis-0.7904320927
Mean3.134856562
Median Absolute Deviation (MAD)1
Skewness-0.06973869074
Sum2793850
Variance1.506430505
MonotocityNot monotonic
2020-12-02T12:22:08.773415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
333115737.2%
 
515897117.8%
 
415530117.4%
 
213852815.5%
 
110726412.0%
 
ValueCountFrequency (%) 
110726412.0%
 
213852815.5%
 
333115737.2%
 
415530117.4%
 
515897117.8%
 
ValueCountFrequency (%) 
515897117.8%
 
415530117.4%
 
333115737.2%
 
213852815.5%
 
110726412.0%
 

KBA05_HERST1
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.288951899
Minimum0
Maximum5
Zeros75567
Zeros (%)8.5%
Memory size6.8 MiB
2020-12-02T12:22:08.869589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.253183423
Coefficient of variation (CV)0.547492249
Kurtosis-0.1083378533
Mean2.288951899
Median Absolute Deviation (MAD)1
Skewness0.2830928516
Sum2039962
Variance1.570468691
MonotocityNot monotonic
2020-12-02T12:22:08.958976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
237379741.9%
 
317713819.9%
 
111878113.3%
 
4875179.8%
 
0755678.5%
 
5584216.6%
 
ValueCountFrequency (%) 
0755678.5%
 
111878113.3%
 
237379741.9%
 
317713819.9%
 
4875179.8%
 
5584216.6%
 
ValueCountFrequency (%) 
5584216.6%
 
4875179.8%
 
317713819.9%
 
237379741.9%
 
111878113.3%
 
0755678.5%
 

KBA05_HERST2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.988182505
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:09.051271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9412224543
Coefficient of variation (CV)0.3149815825
Kurtosis0.1242045986
Mean2.988182505
Median Absolute Deviation (MAD)0
Skewness0.06552120866
Sum2663131
Variance0.8858997084
MonotocityNot monotonic
2020-12-02T12:22:09.139532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345004250.5%
 
217298119.4%
 
415203917.1%
 
5606826.8%
 
1554776.2%
 
ValueCountFrequency (%) 
1554776.2%
 
217298119.4%
 
345004250.5%
 
415203917.1%
 
5606826.8%
 
ValueCountFrequency (%) 
5606826.8%
 
415203917.1%
 
345004250.5%
 
217298119.4%
 
1554776.2%
 

KBA05_HERST3
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.93092398
Minimum0
Maximum5
Zeros16789
Zeros (%)1.9%
Memory size6.8 MiB
2020-12-02T12:22:09.227080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.026009644
Coefficient of variation (CV)0.350063547
Kurtosis0.548310093
Mean2.93092398
Median Absolute Deviation (MAD)0
Skewness-0.2771690801
Sum2612101
Variance1.05269579
MonotocityNot monotonic
2020-12-02T12:22:09.309231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
344652950.1%
 
215947517.9%
 
414728416.5%
 
5608216.8%
 
1603236.8%
 
0167891.9%
 
ValueCountFrequency (%) 
0167891.9%
 
1603236.8%
 
215947517.9%
 
344652950.1%
 
414728416.5%
 
5608216.8%
 
ValueCountFrequency (%) 
5608216.8%
 
414728416.5%
 
344652950.1%
 
215947517.9%
 
1603236.8%
 
0167891.9%
 

KBA05_HERST4
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.862214872
Minimum0
Maximum5
Zeros30739
Zeros (%)3.4%
Memory size6.8 MiB
2020-12-02T12:22:09.400597image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.135971136
Coefficient of variation (CV)0.3968853446
Kurtosis0.2162797262
Mean2.862214872
Median Absolute Deviation (MAD)1
Skewness-0.3133865571
Sum2550866
Variance1.290430421
MonotocityNot monotonic
2020-12-02T12:22:09.490759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
340764345.7%
 
216436218.4%
 
414264816.0%
 
1751318.4%
 
5706987.9%
 
0307393.4%
 
ValueCountFrequency (%) 
0307393.4%
 
1751318.4%
 
216436218.4%
 
340764345.7%
 
414264816.0%
 
5706987.9%
 
ValueCountFrequency (%) 
5706987.9%
 
414264816.0%
 
340764345.7%
 
216436218.4%
 
1751318.4%
 
0307393.4%
 

KBA05_HERST5
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.835474029
Minimum0
Maximum5
Zeros47295
Zeros (%)5.3%
Memory size6.8 MiB
2020-12-02T12:22:09.579257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.182106254
Coefficient of variation (CV)0.4168989881
Kurtosis0.2161348304
Mean2.835474029
Median Absolute Deviation (MAD)1
Skewness-0.4497525765
Sum2527034
Variance1.397375195
MonotocityNot monotonic
2020-12-02T12:22:09.677545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
339028043.8%
 
216432118.4%
 
415926117.9%
 
5651117.3%
 
1649537.3%
 
0472955.3%
 
ValueCountFrequency (%) 
0472955.3%
 
1649537.3%
 
216432118.4%
 
339028043.8%
 
415926117.9%
 
5651117.3%
 
ValueCountFrequency (%) 
5651117.3%
 
415926117.9%
 
339028043.8%
 
216432118.4%
 
1649537.3%
 
0472955.3%
 

KBA05_HERSTTEMP
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.73991524
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:09.775364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.125319547
Coefficient of variation (CV)0.4107132697
Kurtosis-0.5198216429
Mean2.73991524
Median Absolute Deviation (MAD)1
Skewness0.06463231586
Sum2441870
Variance1.266344082
MonotocityNot monotonic
2020-12-02T12:22:09.866363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
338546543.3%
 
116238618.2%
 
215785617.7%
 
412019313.5%
 
5653217.3%
 
ValueCountFrequency (%) 
116238618.2%
 
215785617.7%
 
338546543.3%
 
412019313.5%
 
5653217.3%
 
ValueCountFrequency (%) 
5653217.3%
 
412019313.5%
 
338546543.3%
 
215785617.7%
 
116238618.2%
 

KBA05_KRSAQUOT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.983626957
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:09.969191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.034033571
Coefficient of variation (CV)0.3465693219
Kurtosis-0.1275668565
Mean2.983626957
Median Absolute Deviation (MAD)1
Skewness0.01179311164
Sum2659071
Variance1.069225426
MonotocityNot monotonic
2020-12-02T12:22:10.053500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343163648.4%
 
215139417.0%
 
414366816.1%
 
1839789.4%
 
5805459.0%
 
ValueCountFrequency (%) 
1839789.4%
 
215139417.0%
 
343163648.4%
 
414366816.1%
 
5805459.0%
 
ValueCountFrequency (%) 
5805459.0%
 
414366816.1%
 
343163648.4%
 
215139417.0%
 
1839789.4%
 

KBA05_KRSHERST1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.94248789
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:10.148708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9255469455
Coefficient of variation (CV)0.314545711
Kurtosis0.1084808694
Mean2.94248789
Median Absolute Deviation (MAD)0
Skewness-0.04837076686
Sum2622407
Variance0.8566371483
MonotocityNot monotonic
2020-12-02T12:22:10.235507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344721350.2%
 
217476419.6%
 
416178018.2%
 
1633007.1%
 
5441645.0%
 
ValueCountFrequency (%) 
1633007.1%
 
217476419.6%
 
344721350.2%
 
416178018.2%
 
5441645.0%
 
ValueCountFrequency (%) 
5441645.0%
 
416178018.2%
 
344721350.2%
 
217476419.6%
 
1633007.1%
 

KBA05_KRSHERST2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.967414367
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:10.325993image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9723383385
Coefficient of variation (CV)0.3276719117
Kurtosis0.0504289207
Mean2.967414367
Median Absolute Deviation (MAD)0
Skewness-0.01350994615
Sum2644622
Variance0.9454418445
MonotocityNot monotonic
2020-12-02T12:22:10.413363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344600650.0%
 
216000218.0%
 
415243717.1%
 
1717578.1%
 
5610196.8%
 
ValueCountFrequency (%) 
1717578.1%
 
216000218.0%
 
344600650.0%
 
415243717.1%
 
5610196.8%
 
ValueCountFrequency (%) 
5610196.8%
 
415243717.1%
 
344600650.0%
 
216000218.0%
 
1717578.1%
 

KBA05_KRSHERST3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.031249264
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:10.510264image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.00010306
Coefficient of variation (CV)0.3299309866
Kurtosis-0.02682771931
Mean3.031249264
Median Absolute Deviation (MAD)1
Skewness0.05438252935
Sum2701513
Variance1.000206131
MonotocityNot monotonic
2020-12-02T12:22:10.598738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344140849.5%
 
215460917.3%
 
414771716.6%
 
5824299.2%
 
1650587.3%
 
ValueCountFrequency (%) 
1650587.3%
 
215460917.3%
 
344140849.5%
 
414771716.6%
 
5824299.2%
 
ValueCountFrequency (%) 
5824299.2%
 
414771716.6%
 
344140849.5%
 
215460917.3%
 
1650587.3%
 

KBA05_KRSKLEIN
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
584493 
1
156643 
3
150085 
ValueCountFrequency (%) 
258449365.6%
 
115664317.6%
 
315008516.8%
 
2020-12-02T12:22:10.698575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
258449321.9%
 
11566435.9%
 
31500855.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
258449332.8%
 
11566438.8%
 
31500858.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
258449321.9%
 
11566435.9%
 
31500855.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
258449321.9%
 
11566435.9%
 
31500855.6%
 

KBA05_KRSOBER
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
612602 
1
152048 
3
126571 
ValueCountFrequency (%) 
261260268.7%
 
115204817.1%
 
312657114.2%
 
2020-12-02T12:22:10.801120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
261260222.9%
 
11520485.7%
 
31265714.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
261260234.4%
 
11520488.5%
 
31265717.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
261260222.9%
 
11520485.7%
 
31265714.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
261260222.9%
 
11520485.7%
 
31265714.7%
 

KBA05_KRSVAN
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
640163 
1
125937 
3
125121 
ValueCountFrequency (%) 
264016371.8%
 
112593714.1%
 
312512114.0%
 
2020-12-02T12:22:10.899314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
264016323.9%
 
11259374.7%
 
31251214.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
264016335.9%
 
11259377.1%
 
31251217.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
264016323.9%
 
11259374.7%
 
31251214.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
264016323.9%
 
11259374.7%
 
31251214.7%
 

KBA05_KRSZUL
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
528205 
1
208542 
3
154474 
ValueCountFrequency (%) 
252820559.3%
 
120854223.4%
 
315447417.3%
 
2020-12-02T12:22:11.004045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
252820519.8%
 
12085427.8%
 
31544745.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
252820529.6%
 
120854211.7%
 
31544748.7%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
252820519.8%
 
12085427.8%
 
31544745.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
252820519.8%
 
12085427.8%
 
31544745.8%
 

KBA05_KW1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.98001057
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:11.099370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.010722617
Coefficient of variation (CV)0.3391674603
Kurtosis-0.1213199833
Mean2.98001057
Median Absolute Deviation (MAD)1
Skewness-0.01908145143
Sum2655848
Variance1.021560208
MonotocityNot monotonic
2020-12-02T12:22:11.198041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342296647.5%
 
416052218.0%
 
216022118.0%
 
1782858.8%
 
5692277.8%
 
ValueCountFrequency (%) 
1782858.8%
 
216022118.0%
 
342296647.5%
 
416052218.0%
 
5692277.8%
 
ValueCountFrequency (%) 
5692277.8%
 
416052218.0%
 
342296647.5%
 
216022118.0%
 
1782858.8%
 

KBA05_KW2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.99712417
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:11.309095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9625360515
Coefficient of variation (CV)0.3211532112
Kurtosis0.1125876779
Mean2.99712417
Median Absolute Deviation (MAD)0
Skewness0.007731515368
Sum2671100
Variance0.9264756505
MonotocityNot monotonic
2020-12-02T12:22:11.396016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345435651.0%
 
215517217.4%
 
415208117.1%
 
5649387.3%
 
1646747.3%
 
ValueCountFrequency (%) 
1646747.3%
 
215517217.4%
 
345435651.0%
 
415208117.1%
 
5649387.3%
 
ValueCountFrequency (%) 
5649387.3%
 
415208117.1%
 
345435651.0%
 
215517217.4%
 
1646747.3%
 

KBA05_KW3
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.336052449
Minimum0
Maximum4
Zeros206843
Zeros (%)23.2%
Memory size6.8 MiB
2020-12-02T12:22:11.492003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.13245468
Coefficient of variation (CV)0.8476124426
Kurtosis0.01158330832
Mean1.336052449
Median Absolute Deviation (MAD)1
Skewness0.8300288014
Sum1190718
Variance1.282453602
MonotocityNot monotonic
2020-12-02T12:22:11.580501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
138162842.8%
 
020684323.2%
 
216077618.0%
 
3803589.0%
 
4616166.9%
 
ValueCountFrequency (%) 
020684323.2%
 
138162842.8%
 
216077618.0%
 
3803589.0%
 
4616166.9%
 
ValueCountFrequency (%) 
4616166.9%
 
3803589.0%
 
216077618.0%
 
138162842.8%
 
020684323.2%
 

KBA05_MAXAH
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.229499754
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:11.687080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.172476077
Coefficient of variation (CV)0.363051917
Kurtosis-0.8398120716
Mean3.229499754
Median Absolute Deviation (MAD)1
Skewness0.1492397966
Sum2878198
Variance1.37470015
MonotocityNot monotonic
2020-12-02T12:22:11.778119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335726740.1%
 
519503621.9%
 
218570820.8%
 
410219711.5%
 
1510135.7%
 
ValueCountFrequency (%) 
1510135.7%
 
218570820.8%
 
335726740.1%
 
410219711.5%
 
519503621.9%
 
ValueCountFrequency (%) 
519503621.9%
 
410219711.5%
 
335726740.1%
 
218570820.8%
 
1510135.7%
 

KBA05_MAXBJ
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
405027 
4
187538 
2
183360 
3
115296 
ValueCountFrequency (%) 
140502745.4%
 
418753821.0%
 
218336020.6%
 
311529612.9%
 
2020-12-02T12:22:11.886798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
140502715.1%
 
41875387.0%
 
21833606.9%
 
31152964.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
140502722.7%
 
418753810.5%
 
218336010.3%
 
31152966.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
140502715.1%
 
41875387.0%
 
21833606.9%
 
31152964.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
140502715.1%
 
41875387.0%
 
21833606.9%
 
31152964.3%
 

KBA05_MAXHERST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.622873563
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:11.974501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.056358109
Coefficient of variation (CV)0.4027483916
Kurtosis-0.1863885307
Mean2.622873563
Median Absolute Deviation (MAD)1
Skewness0.7003578409
Sum2337560
Variance1.115892454
MonotocityNot monotonic
2020-12-02T12:22:12.069834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
241883947.0%
 
320945023.5%
 
411643613.1%
 
1816739.2%
 
5648237.3%
 
ValueCountFrequency (%) 
1816739.2%
 
241883947.0%
 
320945023.5%
 
411643613.1%
 
5648237.3%
 
ValueCountFrequency (%) 
5648237.3%
 
411643613.1%
 
320945023.5%
 
241883947.0%
 
1816739.2%
 

KBA05_MAXSEG
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
447290 
1
202835 
3
171954 
4
69142 
ValueCountFrequency (%) 
244729050.2%
 
120283522.8%
 
317195419.3%
 
4691427.8%
 
2020-12-02T12:22:12.184260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
244729016.7%
 
12028357.6%
 
31719546.4%
 
4691422.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
244729025.1%
 
120283511.4%
 
31719549.6%
 
4691423.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
244729016.7%
 
12028357.6%
 
31719546.4%
 
4691422.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
244729016.7%
 
12028357.6%
 
31719546.4%
 
4691422.6%
 

KBA05_MAXVORB
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
471410 
3
240866 
1
178945 
ValueCountFrequency (%) 
247141052.9%
 
324086627.0%
 
117894520.1%
 
2020-12-02T12:22:12.294446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
247141017.6%
 
32408669.0%
 
11789456.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
247141026.4%
 
324086613.5%
 
117894510.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
247141017.6%
 
32408669.0%
 
11789456.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
247141017.6%
 
32408669.0%
 
11789456.7%
 

KBA05_MOD1
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.073013315
Minimum0
Maximum4
Zeros434197
Zeros (%)48.7%
Memory size6.8 MiB
2020-12-02T12:22:12.398749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.24898736
Coefficient of variation (CV)1.16399987
Kurtosis-0.5015610511
Mean1.073013315
Median Absolute Deviation (MAD)1
Skewness0.8240928285
Sum956292
Variance1.559969425
MonotocityNot monotonic
2020-12-02T12:22:12.487162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
043419748.7%
 
218075520.3%
 
114085415.8%
 
3877329.8%
 
4476835.4%
 
ValueCountFrequency (%) 
043419748.7%
 
114085415.8%
 
218075520.3%
 
3877329.8%
 
4476835.4%
 
ValueCountFrequency (%) 
4476835.4%
 
3877329.8%
 
218075520.3%
 
114085415.8%
 
043419748.7%
 

KBA05_MOD2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.978204059
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:12.582268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.954419816
Coefficient of variation (CV)0.3204682409
Kurtosis0.09680884952
Mean2.978204059
Median Absolute Deviation (MAD)0
Skewness-0.01804042896
Sum2654238
Variance0.9109171853
MonotocityNot monotonic
2020-12-02T12:22:12.672388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344931750.4%
 
216099918.1%
 
415745617.7%
 
1656957.4%
 
5577546.5%
 
ValueCountFrequency (%) 
1656957.4%
 
216099918.1%
 
344931750.4%
 
415745617.7%
 
5577546.5%
 
ValueCountFrequency (%) 
5577546.5%
 
415745617.7%
 
344931750.4%
 
216099918.1%
 
1656957.4%
 

KBA05_MOD3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.982142476
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:12.763339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9804710991
Coefficient of variation (CV)0.3287807698
Kurtosis-0.06437582076
Mean2.982142476
Median Absolute Deviation (MAD)1
Skewness-0.004470837997
Sum2657748
Variance0.9613235761
MonotocityNot monotonic
2020-12-02T12:22:12.861665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342485847.7%
 
217040319.1%
 
416573618.6%
 
1679247.6%
 
5623007.0%
 
ValueCountFrequency (%) 
1679247.6%
 
217040319.1%
 
342485847.7%
 
416573618.6%
 
5623007.0%
 
ValueCountFrequency (%) 
5623007.0%
 
416573618.6%
 
342485847.7%
 
217040319.1%
 
1679247.6%
 

KBA05_MOD4
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.758070108
Minimum0
Maximum5
Zeros50590
Zeros (%)5.7%
Memory size6.8 MiB
2020-12-02T12:22:12.964230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.25691899
Coefficient of variation (CV)0.4557240899
Kurtosis-0.1838815239
Mean2.758070108
Median Absolute Deviation (MAD)1
Skewness-0.2819074642
Sum2458050
Variance1.579845347
MonotocityNot monotonic
2020-12-02T12:22:13.065452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
337124941.7%
 
216009418.0%
 
413080114.7%
 
19788111.0%
 
5806069.0%
 
0505905.7%
 
ValueCountFrequency (%) 
0505905.7%
 
19788111.0%
 
216009418.0%
 
337124941.7%
 
413080114.7%
 
5806069.0%
 
ValueCountFrequency (%) 
5806069.0%
 
413080114.7%
 
337124941.7%
 
216009418.0%
 
19788111.0%
 
0505905.7%
 

KBA05_MOD8
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
369999 
1
217315 
2
216657 
3
87250 
ValueCountFrequency (%) 
036999941.5%
 
121731524.4%
 
221665724.3%
 
3872509.8%
 
2020-12-02T12:22:13.174343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0126122047.2%
 
.89122133.3%
 
12173158.1%
 
22166578.1%
 
3872503.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0126122070.8%
 
121731512.2%
 
221665712.2%
 
3872504.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0126122047.2%
 
.89122133.3%
 
12173158.1%
 
22166578.1%
 
3872503.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0126122047.2%
 
.89122133.3%
 
12173158.1%
 
22166578.1%
 
3872503.3%
 

KBA05_MODTEMP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.005790932
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:13.271242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.188190354
Coefficient of variation (CV)0.3953003986
Kurtosis-0.4349264492
Mean3.005790932
Median Absolute Deviation (MAD)1
Skewness-0.2044129843
Sum2678824
Variance1.411796316
MonotocityNot monotonic
2020-12-02T12:22:13.364532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
336032640.4%
 
422678225.4%
 
115166717.0%
 
2775768.7%
 
5653217.3%
 
695491.1%
 
ValueCountFrequency (%) 
115166717.0%
 
2775768.7%
 
336032640.4%
 
422678225.4%
 
5653217.3%
 
695491.1%
 
ValueCountFrequency (%) 
695491.1%
 
5653217.3%
 
422678225.4%
 
336032640.4%
 
2775768.7%
 
115166717.0%
 

KBA05_MOTOR
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
3
437968 
2
222119 
1
121085 
4
110049 
ValueCountFrequency (%) 
343796849.1%
 
222211924.9%
 
112108513.6%
 
411004912.3%
 
2020-12-02T12:22:13.484529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
343796816.4%
 
22221198.3%
 
11210854.5%
 
41100494.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
343796824.6%
 
222211912.5%
 
11210856.8%
 
41100496.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
343796816.4%
 
22221198.3%
 
11210854.5%
 
41100494.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
343796816.4%
 
22221198.3%
 
11210854.5%
 
41100494.1%
 

KBA05_MOTRAD
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
538653 
0
204268 
2
74250 
3
74050 
ValueCountFrequency (%) 
153865360.4%
 
020426822.9%
 
2742508.3%
 
3740508.3%
 
2020-12-02T12:22:13.591913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0109548941.0%
 
.89122133.3%
 
153865320.1%
 
2742502.8%
 
3740502.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0109548961.5%
 
153865330.2%
 
2742504.2%
 
3740504.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0109548941.0%
 
.89122133.3%
 
153865320.1%
 
2742502.8%
 
3740502.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0109548941.0%
 
.89122133.3%
 
153865320.1%
 
2742502.8%
 
3740502.8%
 

KBA05_SEG1
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
399286 
0
246416 
2
185910 
3
59609 
ValueCountFrequency (%) 
139928644.8%
 
024641627.6%
 
218591020.9%
 
3596096.7%
 
2020-12-02T12:22:13.703536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0113763742.5%
 
.89122133.3%
 
139928614.9%
 
21859107.0%
 
3596092.2%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0113763763.8%
 
139928622.4%
 
218591010.4%
 
3596093.3%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0113763742.5%
 
.89122133.3%
 
139928614.9%
 
21859107.0%
 
3596092.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0113763742.5%
 
.89122133.3%
 
139928614.9%
 
21859107.0%
 
3596092.2%
 

KBA05_SEG10
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.888267893
Minimum0
Maximum4
Zeros111769
Zeros (%)12.5%
Memory size6.8 MiB
2020-12-02T12:22:13.801422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.053844233
Coefficient of variation (CV)0.5581010176
Kurtosis-0.2677055071
Mean1.888267893
Median Absolute Deviation (MAD)1
Skewness-0.0543769536
Sum1682864
Variance1.110587667
MonotocityNot monotonic
2020-12-02T12:22:13.900114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
241585446.7%
 
115152417.0%
 
314866416.7%
 
011176912.5%
 
4634107.1%
 
ValueCountFrequency (%) 
011176912.5%
 
115152417.0%
 
241585446.7%
 
314866416.7%
 
4634107.1%
 
ValueCountFrequency (%) 
4634107.1%
 
314866416.7%
 
241585446.7%
 
115152417.0%
 
011176912.5%
 

KBA05_SEG2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.984415762
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:14.004854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9594471098
Coefficient of variation (CV)0.32148574
Kurtosis0.08242026482
Mean2.984415762
Median Absolute Deviation (MAD)0
Skewness-0.06671770709
Sum2659774
Variance0.9205387564
MonotocityNot monotonic
2020-12-02T12:22:14.086148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344853350.3%
 
416424218.4%
 
215246917.1%
 
1694047.8%
 
5565736.3%
 
ValueCountFrequency (%) 
1694047.8%
 
215246917.1%
 
344853350.3%
 
416424218.4%
 
5565736.3%
 
ValueCountFrequency (%) 
5565736.3%
 
416424218.4%
 
344853350.3%
 
215246917.1%
 
1694047.8%
 

KBA05_SEG3
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.97417139
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:14.189977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9717841386
Coefficient of variation (CV)0.326741136
Kurtosis-0.07607116249
Mean2.97417139
Median Absolute Deviation (MAD)1
Skewness0.04211737246
Sum2650644
Variance0.9443644119
MonotocityNot monotonic
2020-12-02T12:22:14.284516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
341937647.1%
 
218440720.7%
 
416397618.4%
 
1623787.0%
 
5610846.9%
 
ValueCountFrequency (%) 
1623787.0%
 
218440720.7%
 
341937647.1%
 
416397618.4%
 
5610846.9%
 
ValueCountFrequency (%) 
5610846.9%
 
416397618.4%
 
341937647.1%
 
218440720.7%
 
1623787.0%
 

KBA05_SEG4
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.989131764
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:14.399733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9425835905
Coefficient of variation (CV)0.3153369155
Kurtosis0.2397564932
Mean2.989131764
Median Absolute Deviation (MAD)0
Skewness0.01828641305
Sum2663977
Variance0.8884638252
MonotocityNot monotonic
2020-12-02T12:22:14.493212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
347110152.9%
 
215252217.1%
 
414366416.1%
 
1621747.0%
 
5617606.9%
 
ValueCountFrequency (%) 
1621747.0%
 
215252217.1%
 
347110152.9%
 
414366416.1%
 
5617606.9%
 
ValueCountFrequency (%) 
5617606.9%
 
414366416.1%
 
347110152.9%
 
215252217.1%
 
1621747.0%
 

KBA05_SEG5
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.375808021
Minimum0
Maximum4
Zeros182816
Zeros (%)20.5%
Memory size6.8 MiB
2020-12-02T12:22:14.582367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.091257672
Coefficient of variation (CV)0.7931758322
Kurtosis-0.04772509528
Mean1.375808021
Median Absolute Deviation (MAD)1
Skewness0.7386819488
Sum1226149
Variance1.190843306
MonotocityNot monotonic
2020-12-02T12:22:14.684424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
138320343.0%
 
218342420.6%
 
018281620.5%
 
39101410.2%
 
4507645.7%
 
ValueCountFrequency (%) 
018281620.5%
 
138320343.0%
 
218342420.6%
 
39101410.2%
 
4507645.7%
 
ValueCountFrequency (%) 
4507645.7%
 
39101410.2%
 
218342420.6%
 
138320343.0%
 
018281620.5%
 

KBA05_SEG6
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
802740 
1
88481 
ValueCountFrequency (%) 
080274090.1%
 
1884819.9%
 

KBA05_SEG7
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
516196 
1
183860 
2
141172 
3
 
49993
ValueCountFrequency (%) 
051619657.9%
 
118386020.6%
 
214117215.8%
 
3499935.6%
 
2020-12-02T12:22:14.808246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0140741752.6%
 
.89122133.3%
 
11838606.9%
 
21411725.3%
 
3499931.9%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0140741779.0%
 
118386010.3%
 
21411727.9%
 
3499932.8%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0140741752.6%
 
.89122133.3%
 
11838606.9%
 
21411725.3%
 
3499931.9%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0140741752.6%
 
.89122133.3%
 
11838606.9%
 
21411725.3%
 
3499931.9%
 

KBA05_SEG8
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
551959 
1
173773 
2
120236 
3
 
45253
ValueCountFrequency (%) 
055195961.9%
 
117377319.5%
 
212023613.5%
 
3452535.1%
 
2020-12-02T12:22:14.909176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0144318054.0%
 
.89122133.3%
 
11737736.5%
 
21202364.5%
 
3452531.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0144318081.0%
 
11737739.7%
 
21202366.7%
 
3452532.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0144318054.0%
 
.89122133.3%
 
11737736.5%
 
21202364.5%
 
3452531.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0144318054.0%
 
.89122133.3%
 
11737736.5%
 
21202364.5%
 
3452531.7%
 

KBA05_SEG9
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
405803 
1
240744 
2
188097 
3
56577 
ValueCountFrequency (%) 
040580345.5%
 
124074427.0%
 
218809721.1%
 
3565776.3%
 
2020-12-02T12:22:15.008628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0129702448.5%
 
.89122133.3%
 
12407449.0%
 
21880977.0%
 
3565772.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0129702472.8%
 
124074413.5%
 
218809710.6%
 
3565773.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0129702448.5%
 
.89122133.3%
 
12407449.0%
 
21880977.0%
 
3565772.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0129702448.5%
 
.89122133.3%
 
12407449.0%
 
21880977.0%
 
3565772.1%
 

KBA05_VORB0
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.874980504
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:15.096249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.04717839
Coefficient of variation (CV)0.3642384318
Kurtosis-0.3454779809
Mean2.874980504
Median Absolute Deviation (MAD)1
Skewness-0.04324524235
Sum2562243
Variance1.096582581
MonotocityNot monotonic
2020-12-02T12:22:15.183081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
339189044.0%
 
217320619.4%
 
416216018.2%
 
110707612.0%
 
5568896.4%
 
ValueCountFrequency (%) 
110707612.0%
 
217320619.4%
 
339189044.0%
 
416216018.2%
 
5568896.4%
 
ValueCountFrequency (%) 
5568896.4%
 
416216018.2%
 
339189044.0%
 
217320619.4%
 
110707612.0%
 

KBA05_VORB1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.995628469
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:15.276955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9624668859
Coefficient of variation (CV)0.3212904723
Kurtosis0.1334538334
Mean2.995628469
Median Absolute Deviation (MAD)0
Skewness0.01141870678
Sum2669767
Variance0.9263425064
MonotocityNot monotonic
2020-12-02T12:22:15.360179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345830251.4%
 
215331917.2%
 
414870916.7%
 
5656247.4%
 
1652677.3%
 
ValueCountFrequency (%) 
1652677.3%
 
215331917.2%
 
345830251.4%
 
414870916.7%
 
5656247.4%
 
ValueCountFrequency (%) 
5656247.4%
 
414870916.7%
 
345830251.4%
 
215331917.2%
 
1652677.3%
 

KBA05_VORB2
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.780420345
Minimum0
Maximum5
Zeros54357
Zeros (%)6.1%
Memory size6.8 MiB
2020-12-02T12:22:15.451505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.261955274
Coefficient of variation (CV)0.4538721191
Kurtosis-0.09235562409
Mean2.780420345
Median Absolute Deviation (MAD)1
Skewness-0.2971616126
Sum2477969
Variance1.592531113
MonotocityNot monotonic
2020-12-02T12:22:15.539210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338286543.0%
 
216074218.0%
 
412023913.5%
 
5884799.9%
 
1845399.5%
 
0543576.1%
 
ValueCountFrequency (%) 
0543576.1%
 
1845399.5%
 
216074218.0%
 
338286543.0%
 
412023913.5%
 
5884799.9%
 
ValueCountFrequency (%) 
5884799.9%
 
412023913.5%
 
338286543.0%
 
216074218.0%
 
1845399.5%
 
0543576.1%
 

KBA05_ZUL1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.986525228
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:15.625851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9646736976
Coefficient of variation (CV)0.3230087222
Kurtosis0.07174178374
Mean2.986525228
Median Absolute Deviation (MAD)0
Skewness-0.02353596168
Sum2661654
Variance0.9305953429
MonotocityNot monotonic
2020-12-02T12:22:15.706090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344748550.2%
 
415829017.8%
 
215684917.6%
 
1676617.6%
 
5609366.8%
 
ValueCountFrequency (%) 
1676617.6%
 
215684917.6%
 
344748550.2%
 
415829017.8%
 
5609366.8%
 
ValueCountFrequency (%) 
5609366.8%
 
415829017.8%
 
344748550.2%
 
215684917.6%
 
1676617.6%
 

KBA05_ZUL2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.98976797
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:15.802178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9702364107
Coefficient of variation (CV)0.3245189662
Kurtosis0.00993930363
Mean2.98976797
Median Absolute Deviation (MAD)1
Skewness0.01098628396
Sum2664544
Variance0.9413586927
MonotocityNot monotonic
2020-12-02T12:22:15.884843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343672849.0%
 
216643118.7%
 
415987617.9%
 
1647347.3%
 
5634527.1%
 
ValueCountFrequency (%) 
1647347.3%
 
216643118.7%
 
343672849.0%
 
415987617.9%
 
5634527.1%
 
ValueCountFrequency (%) 
5634527.1%
 
415987617.9%
 
343672849.0%
 
216643118.7%
 
1647347.3%
 

KBA05_ZUL3
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.715580086
Minimum0
Maximum5
Zeros71287
Zeros (%)8.0%
Memory size6.8 MiB
2020-12-02T12:22:15.970564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.256370833
Coefficient of variation (CV)0.4626528376
Kurtosis-0.06555791117
Mean2.715580086
Median Absolute Deviation (MAD)1
Skewness-0.4809263517
Sum2420182
Variance1.578467669
MonotocityNot monotonic
2020-12-02T12:22:16.056801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
337269041.8%
 
216068318.0%
 
415655117.6%
 
1738778.3%
 
0712878.0%
 
5561336.3%
 
ValueCountFrequency (%) 
0712878.0%
 
1738778.3%
 
216068318.0%
 
337269041.8%
 
415655117.6%
 
5561336.3%
 
ValueCountFrequency (%) 
5561336.3%
 
415655117.6%
 
337269041.8%
 
216068318.0%
 
1738778.3%
 
0712878.0%
 

KBA05_ZUL4
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.113824742
Minimum0
Maximum5
Zeros105584
Zeros (%)11.8%
Memory size6.8 MiB
2020-12-02T12:22:16.136708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.338612471
Coefficient of variation (CV)0.6332655894
Kurtosis-0.3928261539
Mean2.113824742
Median Absolute Deviation (MAD)1
Skewness0.3815155897
Sum1883885
Variance1.791883347
MonotocityNot monotonic
2020-12-02T12:22:16.221604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
233123737.2%
 
117491019.6%
 
312529914.1%
 
010558411.8%
 
410035111.3%
 
5538406.0%
 
ValueCountFrequency (%) 
010558411.8%
 
117491019.6%
 
233123737.2%
 
312529914.1%
 
410035111.3%
 
5538406.0%
 
ValueCountFrequency (%) 
5538406.0%
 
410035111.3%
 
312529914.1%
 
233123737.2%
 
117491019.6%
 
010558411.8%
 

KBA13_ALTERHALTER_30
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.981262784
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:16.304302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.996171002
Coefficient of variation (CV)0.3341439766
Kurtosis-0.01993622589
Mean2.981262784
Median Absolute Deviation (MAD)1
Skewness0.02667238647
Sum2656964
Variance0.9923566653
MonotocityNot monotonic
2020-12-02T12:22:17.158107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343920549.3%
 
216065318.0%
 
414712816.5%
 
1729118.2%
 
5713248.0%
 
ValueCountFrequency (%) 
1729118.2%
 
216065318.0%
 
343920549.3%
 
414712816.5%
 
5713248.0%
 
ValueCountFrequency (%) 
5713248.0%
 
414712816.5%
 
343920549.3%
 
216065318.0%
 
1729118.2%
 

KBA13_ALTERHALTER_45
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.074185864
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:17.246986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.046898047
Coefficient of variation (CV)0.3405448118
Kurtosis-0.241231908
Mean3.074185864
Median Absolute Deviation (MAD)1
Skewness0.01372592658
Sum2739779
Variance1.09599552
MonotocityNot monotonic
2020-12-02T12:22:17.334590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
341157546.2%
 
416159718.1%
 
215070516.9%
 
59747810.9%
 
1698667.8%
 
ValueCountFrequency (%) 
1698667.8%
 
215070516.9%
 
341157546.2%
 
416159718.1%
 
59747810.9%
 
ValueCountFrequency (%) 
59747810.9%
 
416159718.1%
 
341157546.2%
 
215070516.9%
 
1698667.8%
 

KBA13_ALTERHALTER_60
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.840293261
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:17.434371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9918126614
Coefficient of variation (CV)0.3491937523
Kurtosis-0.07363357041
Mean2.840293261
Median Absolute Deviation (MAD)1
Skewness0.03044546952
Sum2531329
Variance0.9836923554
MonotocityNot monotonic
2020-12-02T12:22:17.529188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342732247.9%
 
218805321.1%
 
413067314.7%
 
19382510.5%
 
5513485.8%
 
ValueCountFrequency (%) 
19382510.5%
 
218805321.1%
 
342732247.9%
 
413067314.7%
 
5513485.8%
 
ValueCountFrequency (%) 
5513485.8%
 
413067314.7%
 
342732247.9%
 
218805321.1%
 
19382510.5%
 

KBA13_ALTERHALTER_61
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.105665149
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:17.623596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.000925498
Coefficient of variation (CV)0.3222902179
Kurtosis-0.0759159202
Mean3.105665149
Median Absolute Deviation (MAD)1
Skewness-0.02852460018
Sum2767834
Variance1.001851852
MonotocityNot monotonic
2020-12-02T12:22:17.712281image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342889648.1%
 
417742819.9%
 
213806515.5%
 
5871189.8%
 
1597146.7%
 
ValueCountFrequency (%) 
1597146.7%
 
213806515.5%
 
342889648.1%
 
417742819.9%
 
5871189.8%
 
ValueCountFrequency (%) 
5871189.8%
 
417742819.9%
 
342889648.1%
 
213806515.5%
 
1597146.7%
 

KBA13_ANTG1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.133043319
Minimum0
Maximum4
Zeros8008
Zeros (%)0.9%
Memory size6.8 MiB
2020-12-02T12:22:17.816897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8660324783
Coefficient of variation (CV)0.4060079186
Kurtosis-0.3550239039
Mean2.133043319
Median Absolute Deviation (MAD)1
Skewness0.2591972991
Sum1901013
Variance0.7500122535
MonotocityNot monotonic
2020-12-02T12:22:17.908147image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
240524845.5%
 
321917424.6%
 
120072322.5%
 
4580686.5%
 
080080.9%
 
ValueCountFrequency (%) 
080080.9%
 
120072322.5%
 
240524845.5%
 
321917424.6%
 
4580686.5%
 
ValueCountFrequency (%) 
4580686.5%
 
321917424.6%
 
240524845.5%
 
120072322.5%
 
080080.9%
 

KBA13_ANTG2
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.804247207
Minimum0
Maximum4
Zeros10772
Zeros (%)1.2%
Memory size6.8 MiB
2020-12-02T12:22:18.014788image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.878518016
Coefficient of variation (CV)0.3132812306
Kurtosis0.2927501106
Mean2.804247207
Median Absolute Deviation (MAD)1
Skewness-0.6181953611
Sum2499204
Variance0.7717939044
MonotocityNot monotonic
2020-12-02T12:22:18.101511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343100748.4%
 
220799323.3%
 
418291620.5%
 
1585336.6%
 
0107721.2%
 
ValueCountFrequency (%) 
0107721.2%
 
1585336.6%
 
220799323.3%
 
343100748.4%
 
418291620.5%
 
ValueCountFrequency (%) 
418291620.5%
 
343100748.4%
 
220799323.3%
 
1585336.6%
 
0107721.2%
 

KBA13_ANTG3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
357523 
1
220761 
3
178747 
0
134190 
ValueCountFrequency (%) 
235752340.1%
 
122076124.8%
 
317874720.1%
 
013419015.1%
 
2020-12-02T12:22:18.212620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0102541138.4%
 
.89122133.3%
 
235752313.4%
 
12207618.3%
 
31787476.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0102541157.5%
 
235752320.1%
 
122076112.4%
 
317874710.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0102541138.4%
 
.89122133.3%
 
235752313.4%
 
12207618.3%
 
31787476.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0102541138.4%
 
.89122133.3%
 
235752313.4%
 
12207618.3%
 
31787476.7%
 

KBA13_ANTG4
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
486595 
1
277982 
2
126644 
ValueCountFrequency (%) 
048659554.6%
 
127798231.2%
 
212664414.2%
 
2020-12-02T12:22:18.321529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0137781651.5%
 
.89122133.3%
 
127798210.4%
 
21266444.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0137781677.3%
 
127798215.6%
 
21266447.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0137781651.5%
 
.89122133.3%
 
127798210.4%
 
21266444.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0137781651.5%
 
.89122133.3%
 
127798210.4%
 
21266444.7%
 

KBA13_ANZAHL_PKW
Real number (ℝ≥0)

Distinct1261
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean712.3334437
Minimum0
Maximum2300
Zeros62
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-12-02T12:22:18.431471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile211
Q1406
median598
Q3947
95-th percentile1400
Maximum2300
Range2300
Interquartile range (IQR)541

Descriptive statistics

Standard deviation406.9364437
Coefficient of variation (CV)0.5712724108
Kurtosis-0.2557980801
Mean712.3334437
Median Absolute Deviation (MAD)234
Skewness0.791707807
Sum634846524
Variance165597.2692
MonotocityNot monotonic
2020-12-02T12:22:18.553946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
140011752213.2%
 
150082910.9%
 
130064270.7%
 
160061350.7%
 
170037950.4%
 
180026170.3%
 
46416040.2%
 
41716040.2%
 
51916000.2%
 
53414960.2%
 
38614580.2%
 
190014500.2%
 
39514460.2%
 
48114170.2%
 
45514090.2%
 
48313930.2%
 
45213880.2%
 
41813840.2%
 
45413800.2%
 
45013800.2%
 
49413790.2%
 
45913790.2%
 
49213590.2%
 
50413400.2%
 
38713380.2%
 
Other values (1236)71923080.7%
 
ValueCountFrequency (%) 
062< 0.1%
 
18< 0.1%
 
26< 0.1%
 
36< 0.1%
 
47< 0.1%
 
57< 0.1%
 
65< 0.1%
 
75< 0.1%
 
86< 0.1%
 
97< 0.1%
 
ValueCountFrequency (%) 
23006110.1%
 
2200307< 0.1%
 
21006510.1%
 
200011980.1%
 
190014500.2%
 
180026170.3%
 
170037950.4%
 
160061350.7%
 
150082910.9%
 
140011752213.2%
 

KBA13_AUDI
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.00479679
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:18.653074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9421476603
Coefficient of variation (CV)0.313547879
Kurtosis0.1327287723
Mean3.00479679
Median Absolute Deviation (MAD)0
Skewness0.0252710052
Sum2677938
Variance0.8876422137
MonotocityNot monotonic
2020-12-02T12:22:18.735079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345240650.8%
 
216287918.3%
 
415850617.8%
 
5608776.8%
 
1565536.3%
 
ValueCountFrequency (%) 
1565536.3%
 
216287918.3%
 
345240650.8%
 
415850617.8%
 
5608776.8%
 
ValueCountFrequency (%) 
5608776.8%
 
415850617.8%
 
345240650.8%
 
216287918.3%
 
1565536.3%
 

KBA13_AUTOQUOTE
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.808093615
Minimum0
Maximum5
Zeros2
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-12-02T12:22:18.821356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9874626765
Coefficient of variation (CV)0.3516487738
Kurtosis-0.101594386
Mean2.808093615
Median Absolute Deviation (MAD)1
Skewness-0.01254934819
Sum2502632
Variance0.9750825376
MonotocityNot monotonic
2020-12-02T12:22:18.908933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
342827848.1%
 
218612120.9%
 
413052814.6%
 
110200411.4%
 
5442885.0%
 
02< 0.1%
 
ValueCountFrequency (%) 
02< 0.1%
 
110200411.4%
 
218612120.9%
 
342827848.1%
 
413052814.6%
 
5442885.0%
 
ValueCountFrequency (%) 
5442885.0%
 
413052814.6%
 
342827848.1%
 
218612120.9%
 
110200411.4%
 
02< 0.1%
 

KBA13_BAUMAX
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.898572857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:18.995577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.455551506
Coefficient of variation (CV)0.7666555965
Kurtosis0.03609943224
Mean1.898572857
Median Absolute Deviation (MAD)0
Skewness1.29519368
Sum1692048
Variance2.118630187
MonotocityNot monotonic
2020-12-02T12:22:19.093055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
159691867.0%
 
511547613.0%
 
2692497.8%
 
3590606.6%
 
4505185.7%
 
ValueCountFrequency (%) 
159691867.0%
 
2692497.8%
 
3590606.6%
 
4505185.7%
 
511547613.0%
 
ValueCountFrequency (%) 
511547613.0%
 
4505185.7%
 
3590606.6%
 
2692497.8%
 
159691867.0%
 

KBA13_BJ_1999
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.988587567
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:19.200212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9034174848
Coefficient of variation (CV)0.302289113
Kurtosis0.2547304598
Mean2.988587567
Median Absolute Deviation (MAD)0
Skewness0.006954335815
Sum2663492
Variance0.8161631518
MonotocityNot monotonic
2020-12-02T12:22:19.289483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346499052.2%
 
216629618.7%
 
415951317.9%
 
1510585.7%
 
5493645.5%
 
ValueCountFrequency (%) 
1510585.7%
 
216629618.7%
 
346499052.2%
 
415951317.9%
 
5493645.5%
 
ValueCountFrequency (%) 
5493645.5%
 
415951317.9%
 
346499052.2%
 
216629618.7%
 
1510585.7%
 

KBA13_BJ_2000
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.991997496
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:19.376918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9360327555
Coefficient of variation (CV)0.3128454342
Kurtosis0.1458515509
Mean2.991997496
Median Absolute Deviation (MAD)0
Skewness0.005547552127
Sum2666531
Variance0.8761573193
MonotocityNot monotonic
2020-12-02T12:22:19.458427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345318550.8%
 
216417918.4%
 
415956717.9%
 
1577756.5%
 
5565156.3%
 
ValueCountFrequency (%) 
1577756.5%
 
216417918.4%
 
345318550.8%
 
415956717.9%
 
5565156.3%
 
ValueCountFrequency (%) 
5565156.3%
 
415956717.9%
 
345318550.8%
 
216417918.4%
 
1577756.5%
 

KBA13_BJ_2004
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.984857852
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:19.546871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8925338155
Coefficient of variation (CV)0.2990205429
Kurtosis0.3031023691
Mean2.984857852
Median Absolute Deviation (MAD)0
Skewness0.00606487161
Sum2660168
Variance0.7966166117
MonotocityNot monotonic
2020-12-02T12:22:19.627375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
347073052.8%
 
216622818.7%
 
415770517.7%
 
1495225.6%
 
5470365.3%
 
ValueCountFrequency (%) 
1495225.6%
 
216622818.7%
 
347073052.8%
 
415770517.7%
 
5470365.3%
 
ValueCountFrequency (%) 
5470365.3%
 
415770517.7%
 
347073052.8%
 
216622818.7%
 
1495225.6%
 

KBA13_BJ_2006
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.985194469
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:19.713946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9056953963
Coefficient of variation (CV)0.3033957773
Kurtosis0.2362299432
Mean2.985194469
Median Absolute Deviation (MAD)0
Skewness-0.002726427254
Sum2660468
Variance0.820284151
MonotocityNot monotonic
2020-12-02T12:22:19.799072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346259451.9%
 
216696018.7%
 
416079318.0%
 
1521945.9%
 
5486805.5%
 
ValueCountFrequency (%) 
1521945.9%
 
216696018.7%
 
346259451.9%
 
416079318.0%
 
5486805.5%
 
ValueCountFrequency (%) 
5486805.5%
 
416079318.0%
 
346259451.9%
 
216696018.7%
 
1521945.9%
 

KBA13_BJ_2008
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.497689125
Minimum0
Maximum5
Zeros134372
Zeros (%)15.1%
Memory size6.8 MiB
2020-12-02T12:22:19.886107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.388912361
Coefficient of variation (CV)0.5560789559
Kurtosis-0.3804477406
Mean2.497689125
Median Absolute Deviation (MAD)1
Skewness-0.3555722776
Sum2225993
Variance1.929077546
MonotocityNot monotonic
2020-12-02T12:22:19.971835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338068542.7%
 
217056419.1%
 
013437215.1%
 
4860709.7%
 
5697507.8%
 
1497805.6%
 
ValueCountFrequency (%) 
013437215.1%
 
1497805.6%
 
217056419.1%
 
338068542.7%
 
4860709.7%
 
5697507.8%
 
ValueCountFrequency (%) 
5697507.8%
 
4860709.7%
 
338068542.7%
 
217056419.1%
 
1497805.6%
 
013437215.1%
 

KBA13_BJ_2009
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.518458385
Minimum0
Maximum5
Zeros101115
Zeros (%)11.3%
Memory size6.8 MiB
2020-12-02T12:22:20.053492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.371676647
Coefficient of variation (CV)0.5446493203
Kurtosis-0.5005149836
Mean2.518458385
Median Absolute Deviation (MAD)1
Skewness-0.2705323076
Sum2244503
Variance1.881496825
MonotocityNot monotonic
2020-12-02T12:22:20.155405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
339199844.0%
 
111990913.5%
 
211803413.2%
 
010111511.3%
 
4882939.9%
 
5718728.1%
 
ValueCountFrequency (%) 
010111511.3%
 
111990913.5%
 
211803413.2%
 
339199844.0%
 
4882939.9%
 
5718728.1%
 
ValueCountFrequency (%) 
5718728.1%
 
4882939.9%
 
339199844.0%
 
211803413.2%
 
111990913.5%
 
010111511.3%
 

KBA13_BMW
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.140319853
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:20.252348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9409307087
Coefficient of variation (CV)0.2996289399
Kurtosis0.08022522565
Mean3.140319853
Median Absolute Deviation (MAD)0
Skewness0.0736805856
Sum2798719
Variance0.8853505985
MonotocityNot monotonic
2020-12-02T12:22:20.341972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345199350.7%
 
417687119.8%
 
213990315.7%
 
5832499.3%
 
1392054.4%
 
ValueCountFrequency (%) 
1392054.4%
 
213990315.7%
 
345199350.7%
 
417687119.8%
 
5832499.3%
 
ValueCountFrequency (%) 
5832499.3%
 
417687119.8%
 
345199350.7%
 
213990315.7%
 
1392054.4%
 

KBA13_CCM_0_1400
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.420491663
Minimum0
Maximum5
Zeros138711
Zeros (%)15.6%
Memory size6.8 MiB
2020-12-02T12:22:20.427929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.373739665
Coefficient of variation (CV)0.5675457123
Kurtosis-0.4367733902
Mean2.420491663
Median Absolute Deviation (MAD)1
Skewness-0.3287828746
Sum2157193
Variance1.887160666
MonotocityNot monotonic
2020-12-02T12:22:20.518728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
337411942.0%
 
217837820.0%
 
013871115.6%
 
4818859.2%
 
1600256.7%
 
5581036.5%
 
ValueCountFrequency (%) 
013871115.6%
 
1600256.7%
 
217837820.0%
 
337411942.0%
 
4818859.2%
 
5581036.5%
 
ValueCountFrequency (%) 
5581036.5%
 
4818859.2%
 
337411942.0%
 
217837820.0%
 
1600256.7%
 
013871115.6%
 

KBA13_CCM_1000
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.494579908
Minimum0
Maximum5
Zeros103227
Zeros (%)11.6%
Memory size6.8 MiB
2020-12-02T12:22:20.607799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.361106986
Coefficient of variation (CV)0.5456257309
Kurtosis-0.4919930301
Mean2.494579908
Median Absolute Deviation (MAD)1
Skewness-0.2821954528
Sum2223222
Variance1.852612226
MonotocityNot monotonic
2020-12-02T12:22:20.695129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
339611644.4%
 
112004013.5%
 
211921013.4%
 
010322711.6%
 
4867269.7%
 
5659027.4%
 
ValueCountFrequency (%) 
010322711.6%
 
112004013.5%
 
211921013.4%
 
339611644.4%
 
4867269.7%
 
5659027.4%
 
ValueCountFrequency (%) 
5659027.4%
 
4867269.7%
 
339611644.4%
 
211921013.4%
 
112004013.5%
 
010322711.6%
 

KBA13_CCM_1200
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.409278956
Minimum0
Maximum5
Zeros145802
Zeros (%)16.4%
Memory size6.8 MiB
2020-12-02T12:22:20.777557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.38725271
Coefficient of variation (CV)0.5757958028
Kurtosis-0.4926325436
Mean2.409278956
Median Absolute Deviation (MAD)1
Skewness-0.3486356107
Sum2147200
Variance1.924470082
MonotocityNot monotonic
2020-12-02T12:22:20.865017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338445343.1%
 
216169018.1%
 
014580216.4%
 
4816319.2%
 
1610726.9%
 
5565736.3%
 
ValueCountFrequency (%) 
014580216.4%
 
1610726.9%
 
216169018.1%
 
338445343.1%
 
4816319.2%
 
5565736.3%
 
ValueCountFrequency (%) 
5565736.3%
 
4816319.2%
 
338445343.1%
 
216169018.1%
 
1610726.9%
 
014580216.4%
 

KBA13_CCM_1400
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.00455667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:20.953690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8850308788
Coefficient of variation (CV)0.2945628843
Kurtosis0.2904429785
Mean3.00455667
Median Absolute Deviation (MAD)0
Skewness0.05180543281
Sum2677724
Variance0.7832796564
MonotocityNot monotonic
2020-12-02T12:22:21.034862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346856452.6%
 
216964019.0%
 
416120518.1%
 
5490305.5%
 
1427824.8%
 
ValueCountFrequency (%) 
1427824.8%
 
216964019.0%
 
346856452.6%
 
416120518.1%
 
5490305.5%
 
ValueCountFrequency (%) 
5490305.5%
 
416120518.1%
 
346856452.6%
 
216964019.0%
 
1427824.8%
 

KBA13_CCM_1401_2500
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.920790691
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:21.131770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8876797475
Coefficient of variation (CV)0.3039176174
Kurtosis0.2289259803
Mean2.920790691
Median Absolute Deviation (MAD)0
Skewness-0.1048536166
Sum2603070
Variance0.7879753341
MonotocityNot monotonic
2020-12-02T12:22:21.216158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346489352.2%
 
217452519.6%
 
415796217.7%
 
1604286.8%
 
5334133.7%
 
ValueCountFrequency (%) 
1604286.8%
 
217452519.6%
 
346489352.2%
 
415796217.7%
 
5334133.7%
 
ValueCountFrequency (%) 
5334133.7%
 
415796217.7%
 
346489352.2%
 
217452519.6%
 
1604286.8%
 

KBA13_CCM_1500
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.42707701
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:21.305525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.431981519
Coefficient of variation (CV)0.5900025061
Kurtosis-1.423505281
Mean2.42707701
Median Absolute Deviation (MAD)1
Skewness0.3235961557
Sum2163062
Variance2.050571069
MonotocityNot monotonic
2020-12-02T12:22:21.397458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
139353144.2%
 
420621323.1%
 
315674717.6%
 
5683267.7%
 
2664047.5%
 
ValueCountFrequency (%) 
139353144.2%
 
2664047.5%
 
315674717.6%
 
420621323.1%
 
5683267.7%
 
ValueCountFrequency (%) 
5683267.7%
 
420621323.1%
 
315674717.6%
 
2664047.5%
 
139353144.2%
 

KBA13_CCM_1600
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.025654692
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:21.491691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8814324303
Coefficient of variation (CV)0.2913195721
Kurtosis0.2947160262
Mean3.025654692
Median Absolute Deviation (MAD)0
Skewness0.08090353911
Sum2696527
Variance0.7769231291
MonotocityNot monotonic
2020-12-02T12:22:21.579229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
347002252.7%
 
216717118.8%
 
416342918.3%
 
5519515.8%
 
1386484.3%
 
ValueCountFrequency (%) 
1386484.3%
 
216717118.8%
 
347002252.7%
 
416342918.3%
 
5519515.8%
 
ValueCountFrequency (%) 
5519515.8%
 
416342918.3%
 
347002252.7%
 
216717118.8%
 
1386484.3%
 

KBA13_CCM_1800
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.43950266
Minimum0
Maximum5
Zeros137534
Zeros (%)15.4%
Memory size6.8 MiB
2020-12-02T12:22:21.674396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.36429126
Coefficient of variation (CV)0.5592497529
Kurtosis-0.3743052861
Mean2.43950266
Median Absolute Deviation (MAD)1
Skewness-0.3623147359
Sum2174136
Variance1.861290641
MonotocityNot monotonic
2020-12-02T12:22:21.783186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338237842.9%
 
217986320.2%
 
013753415.4%
 
4815509.2%
 
5577956.5%
 
1521015.8%
 
ValueCountFrequency (%) 
013753415.4%
 
1521015.8%
 
217986320.2%
 
338237842.9%
 
4815509.2%
 
5577956.5%
 
ValueCountFrequency (%) 
5577956.5%
 
4815509.2%
 
338237842.9%
 
217986320.2%
 
1521015.8%
 
013753415.4%
 

KBA13_CCM_2000
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.063176249
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:21.883440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8810514005
Coefficient of variation (CV)0.2876267406
Kurtosis0.2671530716
Mean3.063176249
Median Absolute Deviation (MAD)0
Skewness0.1076474283
Sum2729967
Variance0.7762515703
MonotocityNot monotonic
2020-12-02T12:22:21.970162image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346893152.6%
 
417034219.1%
 
216092218.1%
 
5572346.4%
 
1337923.8%
 
ValueCountFrequency (%) 
1337923.8%
 
216092218.1%
 
346893152.6%
 
417034219.1%
 
5572346.4%
 
ValueCountFrequency (%) 
5572346.4%
 
417034219.1%
 
346893152.6%
 
216092218.1%
 
1337923.8%
 

KBA13_CCM_2500
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.544302704
Minimum0
Maximum5
Zeros95350
Zeros (%)10.7%
Memory size6.8 MiB
2020-12-02T12:22:22.071226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.338791733
Coefficient of variation (CV)0.5261920019
Kurtosis-0.3587895284
Mean2.544302704
Median Absolute Deviation (MAD)1
Skewness-0.2897769823
Sum2267536
Variance1.792363304
MonotocityNot monotonic
2020-12-02T12:22:22.162762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338973243.7%
 
214453016.2%
 
110247011.5%
 
09535010.7%
 
48888510.0%
 
5702547.9%
 
ValueCountFrequency (%) 
09535010.7%
 
110247011.5%
 
214453016.2%
 
338973243.7%
 
48888510.0%
 
5702547.9%
 
ValueCountFrequency (%) 
5702547.9%
 
48888510.0%
 
338973243.7%
 
214453016.2%
 
110247011.5%
 
09535010.7%
 

KBA13_CCM_2501
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.570088676
Minimum0
Maximum5
Zeros93403
Zeros (%)10.5%
Memory size6.8 MiB
2020-12-02T12:22:22.249179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.36979047
Coefficient of variation (CV)0.5329740107
Kurtosis-0.4703371957
Mean2.570088676
Median Absolute Deviation (MAD)1
Skewness-0.2884563027
Sum2290517
Variance1.876325931
MonotocityNot monotonic
2020-12-02T12:22:22.340350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
340056544.9%
 
112179713.7%
 
210634411.9%
 
09340310.5%
 
49122310.2%
 
5778898.7%
 
ValueCountFrequency (%) 
09340310.5%
 
112179713.7%
 
210634411.9%
 
340056544.9%
 
49122310.2%
 
5778898.7%
 
ValueCountFrequency (%) 
5778898.7%
 
49122310.2%
 
340056544.9%
 
210634411.9%
 
112179713.7%
 
09340310.5%
 

KBA13_CCM_3000
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.633250339
Minimum0
Maximum5
Zeros56562
Zeros (%)6.3%
Memory size6.8 MiB
2020-12-02T12:22:22.423942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.291367419
Coefficient of variation (CV)0.4904081468
Kurtosis-0.3705499777
Mean2.633250339
Median Absolute Deviation (MAD)1
Skewness-0.2312620864
Sum2346808
Variance1.66762981
MonotocityNot monotonic
2020-12-02T12:22:22.522286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
341389946.4%
 
114927116.7%
 
210313611.6%
 
49219710.3%
 
5761568.5%
 
0565626.3%
 
ValueCountFrequency (%) 
0565626.3%
 
114927116.7%
 
210313611.6%
 
341389946.4%
 
49219710.3%
 
5761568.5%
 
ValueCountFrequency (%) 
5761568.5%
 
49219710.3%
 
341389946.4%
 
210313611.6%
 
114927116.7%
 
0565626.3%
 

KBA13_CCM_3001
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.43286121
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:22.625449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.513268725
Coefficient of variation (CV)0.6220119418
Kurtosis-1.539972298
Mean2.43286121
Median Absolute Deviation (MAD)2
Skewness0.3128394136
Sum2168217
Variance2.289982234
MonotocityNot monotonic
2020-12-02T12:22:22.717689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
144423949.8%
 
421576024.2%
 
314744816.5%
 
5836829.4%
 
292< 0.1%
 
ValueCountFrequency (%) 
144423949.8%
 
292< 0.1%
 
314744816.5%
 
421576024.2%
 
5836829.4%
 
ValueCountFrequency (%) 
5836829.4%
 
421576024.2%
 
314744816.5%
 
292< 0.1%
 
144423949.8%
 

KBA13_FAB_ASIEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.97764752
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:22.811626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9556182801
Coefficient of variation (CV)0.3209306252
Kurtosis0.08542175585
Mean2.97764752
Median Absolute Deviation (MAD)0
Skewness0.03230472194
Sum2653742
Variance0.9132062973
MonotocityNot monotonic
2020-12-02T12:22:22.894492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344667050.1%
 
216901919.0%
 
415227817.1%
 
1624227.0%
 
5608326.8%
 
ValueCountFrequency (%) 
1624227.0%
 
216901919.0%
 
344667050.1%
 
415227817.1%
 
5608326.8%
 
ValueCountFrequency (%) 
5608326.8%
 
415227817.1%
 
344667050.1%
 
216901919.0%
 
1624227.0%
 

KBA13_FAB_SONSTIGE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.990239234
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:22.992690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9464121143
Coefficient of variation (CV)0.3165004671
Kurtosis0.1206908144
Mean2.990239234
Median Absolute Deviation (MAD)0
Skewness0.04053667568
Sum2664964
Variance0.89569589
MonotocityNot monotonic
2020-12-02T12:22:23.086893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345092450.6%
 
216748118.8%
 
415346617.2%
 
5610046.8%
 
1583466.5%
 
ValueCountFrequency (%) 
1583466.5%
 
216748118.8%
 
345092450.6%
 
415346617.2%
 
5610046.8%
 
ValueCountFrequency (%) 
5610046.8%
 
415346617.2%
 
345092450.6%
 
216748118.8%
 
1583466.5%
 

KBA13_FIAT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.113491491
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:23.182091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9413483652
Coefficient of variation (CV)0.3023449295
Kurtosis0.07310062653
Mean3.113491491
Median Absolute Deviation (MAD)0
Skewness0.07710828104
Sum2774809
Variance0.8861367448
MonotocityNot monotonic
2020-12-02T12:22:23.269011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344914750.4%
 
417402419.5%
 
214833416.6%
 
5787228.8%
 
1409944.6%
 
ValueCountFrequency (%) 
1409944.6%
 
214833416.6%
 
344914750.4%
 
417402419.5%
 
5787228.8%
 
ValueCountFrequency (%) 
5787228.8%
 
417402419.5%
 
344914750.4%
 
214833416.6%
 
1409944.6%
 

KBA13_FORD
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.003573749
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:23.366113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.976570539
Coefficient of variation (CV)0.3251361947
Kurtosis0.02049213287
Mean3.003573749
Median Absolute Deviation (MAD)1
Skewness0.03066443614
Sum2676848
Variance0.9536900177
MonotocityNot monotonic
2020-12-02T12:22:23.452725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344097049.5%
 
216214518.2%
 
415487017.4%
 
5692337.8%
 
1640037.2%
 
ValueCountFrequency (%) 
1640037.2%
 
216214518.2%
 
344097049.5%
 
415487017.4%
 
5692337.8%
 
ValueCountFrequency (%) 
5692337.8%
 
415487017.4%
 
344097049.5%
 
216214518.2%
 
1640037.2%
 

KBA13_GBZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.36983756
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:23.543692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.059937099
Coefficient of variation (CV)0.3145365556
Kurtosis-0.4533507557
Mean3.36983756
Median Absolute Deviation (MAD)1
Skewness-0.05776569043
Sum3003270
Variance1.123466654
MonotocityNot monotonic
2020-12-02T12:22:23.638586image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
339036343.8%
 
418400320.6%
 
516747318.8%
 
210942212.3%
 
1399604.5%
 
ValueCountFrequency (%) 
1399604.5%
 
210942212.3%
 
339036343.8%
 
418400320.6%
 
516747318.8%
 
ValueCountFrequency (%) 
516747318.8%
 
418400320.6%
 
339036343.8%
 
210942212.3%
 
1399604.5%
 

KBA13_HALTER_20
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.920607795
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:23.738420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.941066861
Coefficient of variation (CV)0.3222161026
Kurtosis0.09364814443
Mean2.920607795
Median Absolute Deviation (MAD)1
Skewness0.02797123425
Sum2602907
Variance0.8856068369
MonotocityNot monotonic
2020-12-02T12:22:23.819252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344403349.8%
 
218487220.7%
 
414641616.4%
 
1660257.4%
 
5498755.6%
 
ValueCountFrequency (%) 
1660257.4%
 
218487220.7%
 
344403349.8%
 
414641616.4%
 
5498755.6%
 
ValueCountFrequency (%) 
5498755.6%
 
414641616.4%
 
344403349.8%
 
218487220.7%
 
1660257.4%
 

KBA13_HALTER_25
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.951610207
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:23.910213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.973280948
Coefficient of variation (CV)0.329745759
Kurtosis0.05848557455
Mean2.951610207
Median Absolute Deviation (MAD)0
Skewness0.01359848061
Sum2630537
Variance0.9472758037
MonotocityNot monotonic
2020-12-02T12:22:24.008342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344723050.2%
 
216511118.5%
 
414477116.2%
 
1727518.2%
 
5613586.9%
 
ValueCountFrequency (%) 
1727518.2%
 
216511118.5%
 
344723050.2%
 
414477116.2%
 
5613586.9%
 
ValueCountFrequency (%) 
5613586.9%
 
414477116.2%
 
344723050.2%
 
216511118.5%
 
1727518.2%
 

KBA13_HALTER_30
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.05009083
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:24.097168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.022675435
Coefficient of variation (CV)0.335293436
Kurtosis-0.1339929672
Mean3.05009083
Median Absolute Deviation (MAD)1
Skewness0.05639106936
Sum2718305
Variance1.045865045
MonotocityNot monotonic
2020-12-02T12:22:24.187234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342798548.0%
 
215566317.5%
 
415054116.9%
 
59095710.2%
 
1660757.4%
 
ValueCountFrequency (%) 
1660757.4%
 
215566317.5%
 
342798548.0%
 
415054116.9%
 
59095710.2%
 
ValueCountFrequency (%) 
59095710.2%
 
415054116.9%
 
342798548.0%
 
215566317.5%
 
1660757.4%
 

KBA13_HALTER_35
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.092484356
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:24.299483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.038249367
Coefficient of variation (CV)0.3357331025
Kurtosis-0.2219505754
Mean3.092484356
Median Absolute Deviation (MAD)1
Skewness0.03443752633
Sum2756087
Variance1.077961748
MonotocityNot monotonic
2020-12-02T12:22:24.385754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
341556946.6%
 
416039618.0%
 
215103216.9%
 
510037711.3%
 
1638477.2%
 
ValueCountFrequency (%) 
1638477.2%
 
215103216.9%
 
341556946.6%
 
416039618.0%
 
510037711.3%
 
ValueCountFrequency (%) 
510037711.3%
 
416039618.0%
 
341556946.6%
 
215103216.9%
 
1638477.2%
 

KBA13_HALTER_40
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.079277755
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:24.492400image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.030298125
Coefficient of variation (CV)0.3345908383
Kurtosis-0.1870920125
Mean3.079277755
Median Absolute Deviation (MAD)1
Skewness0.03459873106
Sum2744317
Variance1.061514227
MonotocityNot monotonic
2020-12-02T12:22:24.587514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
341947247.1%
 
415980017.9%
 
215198417.1%
 
59569210.7%
 
1642737.2%
 
ValueCountFrequency (%) 
1642737.2%
 
215198417.1%
 
341947247.1%
 
415980017.9%
 
59569210.7%
 
ValueCountFrequency (%) 
59569210.7%
 
415980017.9%
 
341947247.1%
 
215198417.1%
 
1642737.2%
 

KBA13_HALTER_45
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.024106254
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:24.693579image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.01288799
Coefficient of variation (CV)0.3349379635
Kurtosis-0.1215464744
Mean3.024106254
Median Absolute Deviation (MAD)1
Skewness0.01541219208
Sum2695147
Variance1.025942081
MonotocityNot monotonic
2020-12-02T12:22:24.791770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342382847.6%
 
416004018.0%
 
215819817.8%
 
5794888.9%
 
1696677.8%
 
ValueCountFrequency (%) 
1696677.8%
 
215819817.8%
 
342382847.6%
 
416004018.0%
 
5794888.9%
 
ValueCountFrequency (%) 
5794888.9%
 
416004018.0%
 
342382847.6%
 
215819817.8%
 
1696677.8%
 

KBA13_HALTER_50
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.863259506
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:24.893787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9899009712
Coefficient of variation (CV)0.3457252021
Kurtosis-0.05212489378
Mean2.863259506
Median Absolute Deviation (MAD)1
Skewness0.02639614408
Sum2551797
Variance0.9799039327
MonotocityNot monotonic
2020-12-02T12:22:24.977953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343087148.3%
 
218353020.6%
 
413361215.0%
 
18959110.1%
 
5536176.0%
 
ValueCountFrequency (%) 
18959110.1%
 
218353020.6%
 
343087148.3%
 
413361215.0%
 
5536176.0%
 
ValueCountFrequency (%) 
5536176.0%
 
413361215.0%
 
343087148.3%
 
218353020.6%
 
18959110.1%
 

KBA13_HALTER_55
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.859128095
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:25.074441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9985716185
Coefficient of variation (CV)0.3492573908
Kurtosis-0.09633323596
Mean2.859128095
Median Absolute Deviation (MAD)1
Skewness0.02287553441
Sum2548115
Variance0.9971452773
MonotocityNot monotonic
2020-12-02T12:22:25.173807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342521147.7%
 
218368520.6%
 
413554115.2%
 
19274310.4%
 
5540416.1%
 
ValueCountFrequency (%) 
19274310.4%
 
218368520.6%
 
342521147.7%
 
413554115.2%
 
5540416.1%
 
ValueCountFrequency (%) 
5540416.1%
 
413554115.2%
 
342521147.7%
 
218368520.6%
 
19274310.4%
 

KBA13_HALTER_60
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.902866966
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:25.277480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.008574182
Coefficient of variation (CV)0.3474407178
Kurtosis-0.1017927672
Mean2.902866966
Median Absolute Deviation (MAD)1
Skewness0.01632105755
Sum2587096
Variance1.017221881
MonotocityNot monotonic
2020-12-02T12:22:25.367503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342706647.9%
 
217297419.4%
 
414090715.8%
 
18876210.0%
 
5615126.9%
 
ValueCountFrequency (%) 
18876210.0%
 
217297419.4%
 
342706647.9%
 
414090715.8%
 
5615126.9%
 
ValueCountFrequency (%) 
5615126.9%
 
414090715.8%
 
342706647.9%
 
217297419.4%
 
18876210.0%
 

KBA13_HALTER_65
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.111838702
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:25.484125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9817045104
Coefficient of variation (CV)0.3154740989
Kurtosis-0.01953494559
Mean3.111838702
Median Absolute Deviation (MAD)1
Skewness0.006168150116
Sum2773336
Variance0.9637437457
MonotocityNot monotonic
2020-12-02T12:22:25.574624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343716449.1%
 
417504019.6%
 
214035115.7%
 
5855799.6%
 
1530876.0%
 
ValueCountFrequency (%) 
1530876.0%
 
214035115.7%
 
343716449.1%
 
417504019.6%
 
5855799.6%
 
ValueCountFrequency (%) 
5855799.6%
 
417504019.6%
 
343716449.1%
 
214035115.7%
 
1530876.0%
 

KBA13_HALTER_66
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.091152475
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:25.668642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.009833635
Coefficient of variation (CV)0.3266851582
Kurtosis-0.1002594281
Mean3.091152475
Median Absolute Deviation (MAD)1
Skewness-0.03440886945
Sum2754900
Variance1.019763971
MonotocityNot monotonic
2020-12-02T12:22:25.763954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342625147.8%
 
417516119.7%
 
213938615.6%
 
5865779.7%
 
1638467.2%
 
ValueCountFrequency (%) 
1638467.2%
 
213938615.6%
 
342625147.8%
 
417516119.7%
 
5865779.7%
 
ValueCountFrequency (%) 
5865779.7%
 
417516119.7%
 
342625147.8%
 
213938615.6%
 
1638467.2%
 

KBA13_HERST_ASIEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.003852019
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:25.858548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9680528829
Coefficient of variation (CV)0.322270497
Kurtosis0.04866532252
Mean3.003852019
Median Absolute Deviation (MAD)1
Skewness0.03434189272
Sum2677096
Variance0.9371263841
MonotocityNot monotonic
2020-12-02T12:22:25.939850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344387449.8%
 
216297918.3%
 
415508417.4%
 
5674747.6%
 
1618106.9%
 
ValueCountFrequency (%) 
1618106.9%
 
216297918.3%
 
344387449.8%
 
415508417.4%
 
5674747.6%
 
ValueCountFrequency (%) 
5674747.6%
 
415508417.4%
 
344387449.8%
 
216297918.3%
 
1618106.9%
 

KBA13_HERST_AUDI_VW
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.933888452
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:26.027635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9642464524
Coefficient of variation (CV)0.3286581846
Kurtosis0.04144409678
Mean2.933888452
Median Absolute Deviation (MAD)1
Skewness-0.003206873323
Sum2614743
Variance0.929771221
MonotocityNot monotonic
2020-12-02T12:22:26.108452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344197849.6%
 
217216019.3%
 
414932216.8%
 
1729018.2%
 
5548606.2%
 
ValueCountFrequency (%) 
1729018.2%
 
217216019.3%
 
344197849.6%
 
414932216.8%
 
5548606.2%
 
ValueCountFrequency (%) 
5548606.2%
 
414932216.8%
 
344197849.6%
 
217216019.3%
 
1729018.2%
 

KBA13_HERST_BMW_BENZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1455621
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:26.199647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9617855478
Coefficient of variation (CV)0.3057595169
Kurtosis0.04184891848
Mean3.1455621
Median Absolute Deviation (MAD)1
Skewness0.0191981832
Sum2803391
Variance0.92503144
MonotocityNot monotonic
2020-12-02T12:22:26.282860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344555450.0%
 
418005220.2%
 
213307414.9%
 
5869589.8%
 
1455835.1%
 
ValueCountFrequency (%) 
1455835.1%
 
213307414.9%
 
344555450.0%
 
418005220.2%
 
5869589.8%
 
ValueCountFrequency (%) 
5869589.8%
 
418005220.2%
 
344555450.0%
 
213307414.9%
 
1455835.1%
 

KBA13_HERST_EUROPA
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.073834661
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:26.372103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.95181388
Coefficient of variation (CV)0.3096503179
Kurtosis0.07619910019
Mean3.073834661
Median Absolute Deviation (MAD)0
Skewness0.03278604648
Sum2739466
Variance0.9059496621
MonotocityNot monotonic
2020-12-02T12:22:26.458753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344689750.1%
 
417064219.1%
 
215103716.9%
 
5728728.2%
 
1497735.6%
 
ValueCountFrequency (%) 
1497735.6%
 
215103716.9%
 
344689750.1%
 
417064219.1%
 
5728728.2%
 
ValueCountFrequency (%) 
5728728.2%
 
417064219.1%
 
344689750.1%
 
215103716.9%
 
1497735.6%
 

KBA13_HERST_FORD_OPEL
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.970910694
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:26.554864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9934418714
Coefficient of variation (CV)0.3343896783
Kurtosis-0.04743035142
Mean2.970910694
Median Absolute Deviation (MAD)1
Skewness0.003384165988
Sum2647738
Variance0.9869267518
MonotocityNot monotonic
2020-12-02T12:22:26.649708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343260548.5%
 
216400318.4%
 
415404417.3%
 
1742768.3%
 
5662937.4%
 
ValueCountFrequency (%) 
1742768.3%
 
216400318.4%
 
343260548.5%
 
415404417.3%
 
5662937.4%
 
ValueCountFrequency (%) 
5662937.4%
 
415404417.3%
 
343260548.5%
 
216400318.4%
 
1742768.3%
 

KBA13_HERST_SONST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.990239234
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:26.745359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9464121143
Coefficient of variation (CV)0.3165004671
Kurtosis0.1206908144
Mean2.990239234
Median Absolute Deviation (MAD)0
Skewness0.04053667568
Sum2664964
Variance0.89569589
MonotocityNot monotonic
2020-12-02T12:22:26.840785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345092450.6%
 
216748118.8%
 
415346617.2%
 
5610046.8%
 
1583466.5%
 
ValueCountFrequency (%) 
1583466.5%
 
216748118.8%
 
345092450.6%
 
415346617.2%
 
5610046.8%
 
ValueCountFrequency (%) 
5610046.8%
 
415346617.2%
 
345092450.6%
 
216748118.8%
 
1583466.5%
 

KBA13_HHZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.505037471
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:26.937833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9366617063
Coefficient of variation (CV)0.2672330079
Kurtosis-0.425041423
Mean3.505037471
Median Absolute Deviation (MAD)1
Skewness0.1103671226
Sum3123763
Variance0.8773351521
MonotocityNot monotonic
2020-12-02T12:22:27.042497image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342576447.8%
 
421211923.8%
 
516814318.9%
 
2720858.1%
 
1131101.5%
 
ValueCountFrequency (%) 
1131101.5%
 
2720858.1%
 
342576447.8%
 
421211923.8%
 
516814318.9%
 
ValueCountFrequency (%) 
516814318.9%
 
421211923.8%
 
342576447.8%
 
2720858.1%
 
1131101.5%
 

KBA13_KMH_0_140
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.408981611
Minimum0
Maximum5
Zeros96010
Zeros (%)10.8%
Memory size6.8 MiB
2020-12-02T12:22:27.144954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.451679025
Coefficient of variation (CV)0.6026110861
Kurtosis-0.9668107832
Mean2.408981611
Median Absolute Deviation (MAD)1
Skewness-0.1067438967
Sum2146935
Variance2.107371991
MonotocityNot monotonic
2020-12-02T12:22:27.241661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338936643.7%
 
123442426.3%
 
09601010.8%
 
49267010.4%
 
5720778.1%
 
266740.7%
 
ValueCountFrequency (%) 
09601010.8%
 
123442426.3%
 
266740.7%
 
338936643.7%
 
49267010.4%
 
5720778.1%
 
ValueCountFrequency (%) 
5720778.1%
 
49267010.4%
 
338936643.7%
 
266740.7%
 
123442426.3%
 
09601010.8%
 

KBA13_KMH_110
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
733423 
3
94175 
2
 
63623
ValueCountFrequency (%) 
173342382.3%
 
39417510.6%
 
2636237.1%
 
2020-12-02T12:22:27.352141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
173342327.4%
 
3941753.5%
 
2636232.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
173342341.1%
 
3941755.3%
 
2636233.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
173342327.4%
 
3941753.5%
 
2636232.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
173342327.4%
 
3941753.5%
 
2636232.4%
 

KBA13_KMH_140
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.493612695
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:27.449413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.415752302
Coefficient of variation (CV)0.5677514816
Kurtosis-1.387077822
Mean2.493612695
Median Absolute Deviation (MAD)1
Skewness0.2740107953
Sum2222360
Variance2.004354582
MonotocityNot monotonic
2020-12-02T12:22:27.551594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
135557339.9%
 
420206722.7%
 
316722118.8%
 
29164810.3%
 
5747128.4%
 
ValueCountFrequency (%) 
135557339.9%
 
29164810.3%
 
316722118.8%
 
420206722.7%
 
5747128.4%
 
ValueCountFrequency (%) 
5747128.4%
 
420206722.7%
 
316722118.8%
 
29164810.3%
 
135557339.9%
 

KBA13_KMH_140_210
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.867271979
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:27.653650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9128969063
Coefficient of variation (CV)0.3183851805
Kurtosis0.2274850889
Mean2.867271979
Median Absolute Deviation (MAD)0
Skewness-0.05434655906
Sum2555373
Variance0.8333807616
MonotocityNot monotonic
2020-12-02T12:22:27.741843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346720552.4%
 
217935420.1%
 
413319214.9%
 
1737678.3%
 
5377034.2%
 
ValueCountFrequency (%) 
1737678.3%
 
217935420.1%
 
346720552.4%
 
413319214.9%
 
5377034.2%
 
ValueCountFrequency (%) 
5377034.2%
 
413319214.9%
 
346720552.4%
 
217935420.1%
 
1737678.3%
 

KBA13_KMH_180
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.940925988
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:27.834071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9108901757
Coefficient of variation (CV)0.3097290375
Kurtosis0.2089006077
Mean2.940925988
Median Absolute Deviation (MAD)0
Skewness-0.05236432588
Sum2621015
Variance0.8297209123
MonotocityNot monotonic
2020-12-02T12:22:27.917350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346116351.7%
 
217029119.1%
 
415559517.5%
 
1615746.9%
 
5425984.8%
 
ValueCountFrequency (%) 
1615746.9%
 
217029119.1%
 
346116351.7%
 
415559517.5%
 
5425984.8%
 
ValueCountFrequency (%) 
5425984.8%
 
415559517.5%
 
346116351.7%
 
217029119.1%
 
1615746.9%
 

KBA13_KMH_210
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.032874001
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:28.019694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8974584782
Coefficient of variation (CV)0.2959102415
Kurtosis0.2655358808
Mean3.032874001
Median Absolute Deviation (MAD)0
Skewness0.05460616166
Sum2702961
Variance0.80543172
MonotocityNot monotonic
2020-12-02T12:22:28.109854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346705952.4%
 
416484318.5%
 
216111318.1%
 
5554956.2%
 
1427114.8%
 
ValueCountFrequency (%) 
1427114.8%
 
216111318.1%
 
346705952.4%
 
416484318.5%
 
5554956.2%
 
ValueCountFrequency (%) 
5554956.2%
 
416484318.5%
 
346705952.4%
 
216111318.1%
 
1427114.8%
 

KBA13_KMH_211
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.522322746
Minimum0
Maximum5
Zeros139463
Zeros (%)15.6%
Memory size6.8 MiB
2020-12-02T12:22:28.199202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.411225243
Coefficient of variation (CV)0.5594943174
Kurtosis-0.4024755951
Mean2.522322746
Median Absolute Deviation (MAD)1
Skewness-0.3718853544
Sum2247947
Variance1.991556686
MonotocityNot monotonic
2020-12-02T12:22:29.245049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338325243.0%
 
216226418.2%
 
013946315.6%
 
4880439.9%
 
5758238.5%
 
1423764.8%
 
ValueCountFrequency (%) 
013946315.6%
 
1423764.8%
 
216226418.2%
 
338325243.0%
 
4880439.9%
 
5758238.5%
 
ValueCountFrequency (%) 
5758238.5%
 
4880439.9%
 
338325243.0%
 
216226418.2%
 
1423764.8%
 
013946315.6%
 

KBA13_KMH_250
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.520539799
Minimum0
Maximum5
Zeros139756
Zeros (%)15.7%
Memory size6.8 MiB
2020-12-02T12:22:29.327049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.410585885
Coefficient of variation (CV)0.5596364263
Kurtosis-0.4025815386
Mean2.520539799
Median Absolute Deviation (MAD)1
Skewness-0.3741303876
Sum2246358
Variance1.98975254
MonotocityNot monotonic
2020-12-02T12:22:29.413669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338409043.1%
 
216165218.1%
 
013975615.7%
 
4880559.9%
 
5752248.4%
 
1424444.8%
 
ValueCountFrequency (%) 
013975615.7%
 
1424444.8%
 
216165218.1%
 
338409043.1%
 
4880559.9%
 
5752248.4%
 
ValueCountFrequency (%) 
5752248.4%
 
4880559.9%
 
338409043.1%
 
216165218.1%
 
1424444.8%
 
013975615.7%
 

KBA13_KMH_251
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
780522 
3
100548 
2
 
10151
ValueCountFrequency (%) 
178052287.6%
 
310054811.3%
 
2101511.1%
 
2020-12-02T12:22:29.532055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
178052229.2%
 
31005483.8%
 
2101510.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
178052243.8%
 
31005485.6%
 
2101510.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
178052229.2%
 
31005483.8%
 
2101510.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
178052229.2%
 
31005483.8%
 
2101510.4%
 

KBA13_KRSAQUOT
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.882232353
Minimum0
Maximum5
Zeros60
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-12-02T12:22:29.621766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.998632658
Coefficient of variation (CV)0.3464788871
Kurtosis-0.08683625996
Mean2.882232353
Median Absolute Deviation (MAD)1
Skewness-0.01577251258
Sum2568706
Variance0.9972671855
MonotocityNot monotonic
2020-12-02T12:22:29.702495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
342989448.2%
 
217262119.4%
 
414220016.0%
 
19181210.3%
 
5546346.1%
 
060< 0.1%
 
ValueCountFrequency (%) 
060< 0.1%
 
19181210.3%
 
217262119.4%
 
342989448.2%
 
414220016.0%
 
5546346.1%
 
ValueCountFrequency (%) 
5546346.1%
 
414220016.0%
 
342989448.2%
 
217262119.4%
 
19181210.3%
 
060< 0.1%
 

KBA13_KRSHERST_AUDI_VW
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.964698992
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-12-02T12:22:29.793947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9496741606
Coefficient of variation (CV)0.3203273463
Kurtosis0.06732681754
Mean2.964698992
Median Absolute Deviation (MAD)1
Skewness-0.03307601841
Sum2642202
Variance0.9018810114
MonotocityNot monotonic
2020-12-02T12:22:29.877191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
344281049.7%
 
216755918.8%
 
416212418.2%
 
1657987.4%
 
5528725.9%
 
058< 0.1%
 
ValueCountFrequency (%) 
058< 0.1%
 
1657987.4%
 
216755918.8%
 
344281049.7%
 
416212418.2%
 
5528725.9%
 
ValueCountFrequency (%) 
5528725.9%
 
416212418.2%
 
344281049.7%
 
216755918.8%
 
1657987.4%
 
058< 0.1%
 

KBA13_KRSHERST_BMW_BENZ
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.073230994
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-12-02T12:22:29.958816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9481944465
Coefficient of variation (CV)0.3085334126
Kurtosis0.09822636309
Mean3.073230994
Median Absolute Deviation (MAD)0
Skewness0.06371654615
Sum2738928
Variance0.8990727084
MonotocityNot monotonic
2020-12-02T12:22:30.046410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
345106450.6%
 
416504418.5%
 
215324517.2%
 
5743158.3%
 
1474955.3%
 
058< 0.1%
 
ValueCountFrequency (%) 
058< 0.1%
 
1474955.3%
 
215324517.2%
 
345106450.6%
 
416504418.5%
 
5743158.3%
 
ValueCountFrequency (%) 
5743158.3%
 
416504418.5%
 
345106450.6%
 
215324517.2%
 
1474955.3%
 
058< 0.1%
 

KBA13_KRSHERST_FORD_OPEL
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.007901519
Minimum0
Maximum5
Zeros58
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-12-02T12:22:30.129936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9772107346
Coefficient of variation (CV)0.3248812264
Kurtosis-0.005890243251
Mean3.007901519
Median Absolute Deviation (MAD)1
Skewness-0.0182651541
Sum2680705
Variance0.9549408199
MonotocityNot monotonic
2020-12-02T12:22:30.220710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
343504048.8%
 
416603518.6%
 
215859717.8%
 
1658017.4%
 
5656907.4%
 
058< 0.1%
 
ValueCountFrequency (%) 
058< 0.1%
 
1658017.4%
 
215859717.8%
 
343504048.8%
 
416603518.6%
 
5656907.4%
 
ValueCountFrequency (%) 
5656907.4%
 
416603518.6%
 
343504048.8%
 
215859717.8%
 
1658017.4%
 
058< 0.1%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
824166 
1
 
35557
3
 
31418
0
 
80
ValueCountFrequency (%) 
282416692.5%
 
1355574.0%
 
3314183.5%
 
080< 0.1%
 
2020-12-02T12:22:30.324699image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
089130133.3%
 
.89122133.3%
 
282416630.8%
 
1355571.3%
 
3314181.2%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089130150.0%
 
282416646.2%
 
1355572.0%
 
3314181.8%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
089130133.3%
 
.89122133.3%
 
282416630.8%
 
1355571.3%
 
3314181.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
089130133.3%
 
.89122133.3%
 
282416630.8%
 
1355571.3%
 
3314181.2%
 
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
622476 
1
151665 
3
116737 
0
 
343
ValueCountFrequency (%) 
262247669.8%
 
115166517.0%
 
311673713.1%
 
0343< 0.1%
 
2020-12-02T12:22:30.428195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
089156433.3%
 
.89122133.3%
 
262247623.3%
 
11516655.7%
 
31167374.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089156450.0%
 
262247634.9%
 
11516658.5%
 
31167376.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
089156433.3%
 
.89122133.3%
 
262247623.3%
 
11516655.7%
 
31167374.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
089156433.3%
 
.89122133.3%
 
262247623.3%
 
11516655.7%
 
31167374.4%
 

KBA13_KRSSEG_VAN
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
593426 
1
169327 
3
127767 
0
 
701
ValueCountFrequency (%) 
259342666.6%
 
116932719.0%
 
312776714.3%
 
07010.1%
 
2020-12-02T12:22:30.542283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
089192233.4%
 
.89122133.3%
 
259342622.2%
 
11693276.3%
 
31277674.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089192250.0%
 
259342633.3%
 
11693279.5%
 
31277677.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
089192233.4%
 
.89122133.3%
 
259342622.2%
 
11693276.3%
 
31277674.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
089192233.4%
 
.89122133.3%
 
259342622.2%
 
11693276.3%
 
31277674.8%
 

KBA13_KRSZUL_NEU
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
484104 
1
222157 
3
153623 
0
 
31337
ValueCountFrequency (%) 
248410454.3%
 
122215724.9%
 
315362317.2%
 
0313373.5%
 
2020-12-02T12:22:30.661145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
092255834.5%
 
.89122133.3%
 
248410418.1%
 
12221578.3%
 
31536235.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
092255851.8%
 
248410427.2%
 
122215712.5%
 
31536238.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
092255834.5%
 
.89122133.3%
 
248410418.1%
 
12221578.3%
 
31536235.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
092255834.5%
 
.89122133.3%
 
248410418.1%
 
12221578.3%
 
31536235.7%
 

KBA13_KW_0_60
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.980388703
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:30.747387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9089253665
Coefficient of variation (CV)0.304968733
Kurtosis0.235887843
Mean2.980388703
Median Absolute Deviation (MAD)0
Skewness-0.013486191
Sum2656185
Variance0.8261453219
MonotocityNot monotonic
2020-12-02T12:22:30.832523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346312152.0%
 
216555718.6%
 
415970317.9%
 
1543266.1%
 
5485145.4%
 
ValueCountFrequency (%) 
1543266.1%
 
216555718.6%
 
346312152.0%
 
415970317.9%
 
5485145.4%
 
ValueCountFrequency (%) 
5485145.4%
 
415970317.9%
 
346312152.0%
 
216555718.6%
 
1543266.1%
 

KBA13_KW_110
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.475548714
Minimum0
Maximum5
Zeros124216
Zeros (%)13.9%
Memory size6.8 MiB
2020-12-02T12:22:30.927326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.355423177
Coefficient of variation (CV)0.5475243406
Kurtosis-0.3430498043
Mean2.475548714
Median Absolute Deviation (MAD)1
Skewness-0.3394302322
Sum2206261
Variance1.837171989
MonotocityNot monotonic
2020-12-02T12:22:31.027640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338147942.8%
 
217541819.7%
 
012421613.9%
 
4837809.4%
 
1639437.2%
 
5623857.0%
 
ValueCountFrequency (%) 
012421613.9%
 
1639437.2%
 
217541819.7%
 
338147942.8%
 
4837809.4%
 
5623857.0%
 
ValueCountFrequency (%) 
5623857.0%
 
4837809.4%
 
338147942.8%
 
217541819.7%
 
1639437.2%
 
012421613.9%
 

KBA13_KW_120
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.450185756
Minimum0
Maximum5
Zeros85028
Zeros (%)9.5%
Memory size6.8 MiB
2020-12-02T12:22:31.122611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.427528531
Coefficient of variation (CV)0.582620533
Kurtosis-0.9013262482
Mean2.450185756
Median Absolute Deviation (MAD)1
Skewness-0.1175324234
Sum2183657
Variance2.037837708
MonotocityNot monotonic
2020-12-02T12:22:31.221671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338721543.4%
 
122670925.4%
 
49477410.6%
 
0850289.5%
 
5737398.3%
 
2237562.7%
 
ValueCountFrequency (%) 
0850289.5%
 
122670925.4%
 
2237562.7%
 
338721543.4%
 
49477410.6%
 
5737398.3%
 
ValueCountFrequency (%) 
5737398.3%
 
49477410.6%
 
338721543.4%
 
2237562.7%
 
122670925.4%
 
0850289.5%
 

KBA13_KW_121
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.564946293
Minimum0
Maximum5
Zeros95195
Zeros (%)10.7%
Memory size6.8 MiB
2020-12-02T12:22:31.314731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.358822794
Coefficient of variation (CV)0.5297665679
Kurtosis-0.4032601043
Mean2.564946293
Median Absolute Deviation (MAD)1
Skewness-0.277101352
Sum2285934
Variance1.846399386
MonotocityNot monotonic
2020-12-02T12:22:31.415069image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338864543.6%
 
213503315.2%
 
110570611.9%
 
09519510.7%
 
48898310.0%
 
5776598.7%
 
ValueCountFrequency (%) 
09519510.7%
 
110570611.9%
 
213503315.2%
 
338864543.6%
 
48898310.0%
 
5776598.7%
 
ValueCountFrequency (%) 
5776598.7%
 
48898310.0%
 
338864543.6%
 
213503315.2%
 
110570611.9%
 
09519510.7%
 

KBA13_KW_30
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
660687 
2
142986 
3
87548 
ValueCountFrequency (%) 
166068774.1%
 
214298616.0%
 
3875489.8%
 
2020-12-02T12:22:31.524633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
166068724.7%
 
21429865.3%
 
3875483.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
166068737.1%
 
21429868.0%
 
3875484.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
166068724.7%
 
21429865.3%
 
3875483.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
166068724.7%
 
21429865.3%
 
3875483.3%
 

KBA13_KW_40
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.475692337
Minimum0
Maximum5
Zeros99260
Zeros (%)11.1%
Memory size6.8 MiB
2020-12-02T12:22:31.624564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.339535199
Coefficient of variation (CV)0.541074987
Kurtosis-0.4572723637
Mean2.475692337
Median Absolute Deviation (MAD)1
Skewness-0.2627905578
Sum2206389
Variance1.794354549
MonotocityNot monotonic
2020-12-02T12:22:31.725767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338888443.6%
 
213545615.2%
 
112106013.6%
 
09926011.1%
 
4850409.5%
 
5615216.9%
 
ValueCountFrequency (%) 
09926011.1%
 
112106013.6%
 
213545615.2%
 
338888443.6%
 
4850409.5%
 
5615216.9%
 
ValueCountFrequency (%) 
5615216.9%
 
4850409.5%
 
338888443.6%
 
213545615.2%
 
112106013.6%
 
09926011.1%
 

KBA13_KW_50
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.418960056
Minimum0
Maximum5
Zeros143215
Zeros (%)16.1%
Memory size6.8 MiB
2020-12-02T12:22:31.820109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.370331402
Coefficient of variation (CV)0.5664960852
Kurtosis-0.4086549621
Mean2.418960056
Median Absolute Deviation (MAD)1
Skewness-0.3601557403
Sum2155828
Variance1.877808151
MonotocityNot monotonic
2020-12-02T12:22:31.908568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
337972042.6%
 
218154520.4%
 
014321516.1%
 
4810079.1%
 
5559546.3%
 
1497805.6%
 
ValueCountFrequency (%) 
014321516.1%
 
1497805.6%
 
218154520.4%
 
337972042.6%
 
4810079.1%
 
5559546.3%
 
ValueCountFrequency (%) 
5559546.3%
 
4810079.1%
 
337972042.6%
 
218154520.4%
 
1497805.6%
 
014321516.1%
 

KBA13_KW_60
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.375477014
Minimum0
Maximum5
Zeros132144
Zeros (%)14.8%
Memory size6.8 MiB
2020-12-02T12:22:31.990893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.345170483
Coefficient of variation (CV)0.566273837
Kurtosis-0.4523322654
Mean2.375477014
Median Absolute Deviation (MAD)1
Skewness-0.3087203254
Sum2117075
Variance1.80948363
MonotocityNot monotonic
2020-12-02T12:22:32.090191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
337363241.9%
 
217852420.0%
 
013214414.8%
 
1792648.9%
 
4784188.8%
 
5492395.5%
 
ValueCountFrequency (%) 
013214414.8%
 
1792648.9%
 
217852420.0%
 
337363241.9%
 
4784188.8%
 
5492395.5%
 
ValueCountFrequency (%) 
5492395.5%
 
4784188.8%
 
337363241.9%
 
217852420.0%
 
1792648.9%
 
013214414.8%
 

KBA13_KW_61_120
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.996640564
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:32.186559image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8987659767
Coefficient of variation (CV)0.299924518
Kurtosis0.2697738665
Mean2.996640564
Median Absolute Deviation (MAD)0
Skewness0.008088520362
Sum2670669
Variance0.8077802808
MonotocityNot monotonic
2020-12-02T12:22:32.276116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346668152.4%
 
216469918.5%
 
416138118.1%
 
5493115.5%
 
1491495.5%
 
ValueCountFrequency (%) 
1491495.5%
 
216469918.5%
 
346668152.4%
 
416138118.1%
 
5493115.5%
 
ValueCountFrequency (%) 
5493115.5%
 
416138118.1%
 
346668152.4%
 
216469918.5%
 
1491495.5%
 

KBA13_KW_70
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.41512599
Minimum0
Maximum5
Zeros141548
Zeros (%)15.9%
Memory size6.8 MiB
2020-12-02T12:22:32.370583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.359745344
Coefficient of variation (CV)0.5630121779
Kurtosis-0.3805604548
Mean2.41512599
Median Absolute Deviation (MAD)1
Skewness-0.3669914468
Sum2152411
Variance1.848907399
MonotocityNot monotonic
2020-12-02T12:22:32.460715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338251742.9%
 
218438720.7%
 
014154815.9%
 
4789158.9%
 
5541436.1%
 
1497115.6%
 
ValueCountFrequency (%) 
014154815.9%
 
1497115.6%
 
218438720.7%
 
338251742.9%
 
4789158.9%
 
5541436.1%
 
ValueCountFrequency (%) 
5541436.1%
 
4789158.9%
 
338251742.9%
 
218438720.7%
 
1497115.6%
 
014154815.9%
 

KBA13_KW_80
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.391924113
Minimum0
Maximum5
Zeros129268
Zeros (%)14.5%
Memory size6.8 MiB
2020-12-02T12:22:32.543815image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.342957963
Coefficient of variation (CV)0.5614550879
Kurtosis-0.418228584
Mean2.391924113
Median Absolute Deviation (MAD)1
Skewness-0.308211715
Sum2131733
Variance1.803536091
MonotocityNot monotonic
2020-12-02T12:22:32.636569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
337502142.1%
 
218052420.3%
 
012926814.5%
 
4775628.7%
 
1772148.7%
 
5516325.8%
 
ValueCountFrequency (%) 
012926814.5%
 
1772148.7%
 
218052420.3%
 
337502142.1%
 
4775628.7%
 
5516325.8%
 
ValueCountFrequency (%) 
5516325.8%
 
4775628.7%
 
337502142.1%
 
218052420.3%
 
1772148.7%
 
012926814.5%
 

KBA13_KW_90
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.456143875
Minimum0
Maximum5
Zeros133326
Zeros (%)15.0%
Memory size6.8 MiB
2020-12-02T12:22:32.720311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.357268264
Coefficient of variation (CV)0.5526012862
Kurtosis-0.3374044499
Mean2.456143875
Median Absolute Deviation (MAD)1
Skewness-0.3679030118
Sum2188967
Variance1.842177141
MonotocityNot monotonic
2020-12-02T12:22:32.808413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338320743.0%
 
218168520.4%
 
013332615.0%
 
4827479.3%
 
5586836.6%
 
1515735.8%
 
ValueCountFrequency (%) 
013332615.0%
 
1515735.8%
 
218168520.4%
 
338320743.0%
 
4827479.3%
 
5586836.6%
 
ValueCountFrequency (%) 
5586836.6%
 
4827479.3%
 
338320743.0%
 
218168520.4%
 
1515735.8%
 
013332615.0%
 

KBA13_MAZDA
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.075221522
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:32.903964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9391092328
Coefficient of variation (CV)0.3053793771
Kurtosis0.09122111948
Mean3.075221522
Median Absolute Deviation (MAD)0
Skewness0.07306247358
Sum2740702
Variance0.8819261511
MonotocityNot monotonic
2020-12-02T12:22:32.998359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344886050.4%
 
416914819.0%
 
215698917.6%
 
5718328.1%
 
1443925.0%
 
ValueCountFrequency (%) 
1443925.0%
 
215698917.6%
 
344886050.4%
 
416914819.0%
 
5718328.1%
 
ValueCountFrequency (%) 
5718328.1%
 
416914819.0%
 
344886050.4%
 
215698917.6%
 
1443925.0%
 

KBA13_MERCEDES
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.127023488
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:33.094352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9622857074
Coefficient of variation (CV)0.3077321648
Kurtosis0.05732504632
Mean3.127023488
Median Absolute Deviation (MAD)0
Skewness0.003862830905
Sum2786869
Variance0.9259937827
MonotocityNot monotonic
2020-12-02T12:22:33.180094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344617950.1%
 
417899520.1%
 
213451315.1%
 
5829489.3%
 
1485865.5%
 
ValueCountFrequency (%) 
1485865.5%
 
213451315.1%
 
344617950.1%
 
417899520.1%
 
5829489.3%
 
ValueCountFrequency (%) 
5829489.3%
 
417899520.1%
 
344617950.1%
 
213451315.1%
 
1485865.5%
 

KBA13_MOTOR
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
3
580686 
2
144655 
4
102786 
1
63094 
ValueCountFrequency (%) 
358068665.2%
 
214465516.2%
 
410278611.5%
 
1630947.1%
 
2020-12-02T12:22:33.281473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
358068621.7%
 
21446555.4%
 
41027863.8%
 
1630942.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
358068632.6%
 
21446558.1%
 
41027865.8%
 
1630943.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
358068621.7%
 
21446555.4%
 
41027863.8%
 
1630942.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
358068621.7%
 
21446555.4%
 
41027863.8%
 
1630942.4%
 

KBA13_NISSAN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.053146189
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:33.367134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9564750479
Coefficient of variation (CV)0.3132752212
Kurtosis0.03975396267
Mean3.053146189
Median Absolute Deviation (MAD)1
Skewness0.04949552001
Sum2721028
Variance0.9148445173
MonotocityNot monotonic
2020-12-02T12:22:33.458111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344125749.5%
 
416712418.8%
 
216021318.0%
 
5714278.0%
 
1512005.7%
 
ValueCountFrequency (%) 
1512005.7%
 
216021318.0%
 
344125749.5%
 
416712418.8%
 
5714278.0%
 
ValueCountFrequency (%) 
5714278.0%
 
416712418.8%
 
344125749.5%
 
216021318.0%
 
1512005.7%
 

KBA13_OPEL
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.975266516
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:33.549647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9902306624
Coefficient of variation (CV)0.3328208269
Kurtosis-0.03780649416
Mean2.975266516
Median Absolute Deviation (MAD)1
Skewness0.006209781734
Sum2651620
Variance0.9805567647
MonotocityNot monotonic
2020-12-02T12:22:33.635430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343341848.6%
 
216424418.4%
 
415468117.4%
 
1725598.1%
 
5663197.4%
 
ValueCountFrequency (%) 
1725598.1%
 
216424418.4%
 
343341848.6%
 
415468117.4%
 
5663197.4%
 
ValueCountFrequency (%) 
5663197.4%
 
415468117.4%
 
343341848.6%
 
216424418.4%
 
1725598.1%
 

KBA13_PEUGEOT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.063179615
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:33.732890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9478286971
Coefficient of variation (CV)0.3094264183
Kurtosis0.08224817938
Mean3.063179615
Median Absolute Deviation (MAD)0
Skewness0.0332506705
Sum2729970
Variance0.898379239
MonotocityNot monotonic
2020-12-02T12:22:33.822760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344660550.1%
 
417037819.1%
 
215437317.3%
 
5700087.9%
 
1498575.6%
 
ValueCountFrequency (%) 
1498575.6%
 
215437317.3%
 
344660550.1%
 
417037819.1%
 
5700087.9%
 
ValueCountFrequency (%) 
5700087.9%
 
417037819.1%
 
344660550.1%
 
215437317.3%
 
1498575.6%
 

KBA13_RENAULT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.038333926
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:33.919957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9607162178
Coefficient of variation (CV)0.3161983643
Kurtosis0.04359453058
Mean3.038333926
Median Absolute Deviation (MAD)1
Skewness0.04356836527
Sum2707827
Variance0.9229756511
MonotocityNot monotonic
2020-12-02T12:22:34.006103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344218449.6%
 
416330718.3%
 
216078118.0%
 
5703847.9%
 
1545656.1%
 
ValueCountFrequency (%) 
1545656.1%
 
216078118.0%
 
344218449.6%
 
416330718.3%
 
5703847.9%
 
ValueCountFrequency (%) 
5703847.9%
 
416330718.3%
 
344218449.6%
 
216078118.0%
 
1545656.1%
 

KBA13_SEG_GELAENDEWAGEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.921046519
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:34.098035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9404257162
Coefficient of variation (CV)0.3219482162
Kurtosis0.129644643
Mean2.921046519
Median Absolute Deviation (MAD)0
Skewness0.01400354071
Sum2603298
Variance0.8844005277
MonotocityNot monotonic
2020-12-02T12:22:34.183831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345099350.6%
 
217864520.0%
 
414374216.1%
 
1677867.6%
 
5500555.6%
 
ValueCountFrequency (%) 
1677867.6%
 
217864520.0%
 
345099350.6%
 
414374216.1%
 
5500555.6%
 
ValueCountFrequency (%) 
5500555.6%
 
414374216.1%
 
345099350.6%
 
217864520.0%
 
1677867.6%
 

KBA13_SEG_GROSSRAUMVANS
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.067308782
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:34.274160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9516340218
Coefficient of variation (CV)0.31025048
Kurtosis0.07542409286
Mean3.067308782
Median Absolute Deviation (MAD)0
Skewness0.03257752261
Sum2733650
Variance0.9056073114
MonotocityNot monotonic
2020-12-02T12:22:34.355461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344644250.1%
 
416994419.1%
 
215271717.1%
 
5717498.1%
 
1503695.7%
 
ValueCountFrequency (%) 
1503695.7%
 
215271717.1%
 
344644250.1%
 
416994419.1%
 
5717498.1%
 
ValueCountFrequency (%) 
5717498.1%
 
416994419.1%
 
344644250.1%
 
215271717.1%
 
1503695.7%
 

KBA13_SEG_KLEINST
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.990435593
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:34.459484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9648489049
Coefficient of variation (CV)0.3226449374
Kurtosis0.05162682312
Mean2.990435593
Median Absolute Deviation (MAD)1
Skewness-0.0001716647625
Sum2665139
Variance0.9309334093
MonotocityNot monotonic
2020-12-02T12:22:34.587165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344339149.8%
 
216195418.2%
 
415857017.8%
 
1649387.3%
 
5623687.0%
 
ValueCountFrequency (%) 
1649387.3%
 
216195418.2%
 
344339149.8%
 
415857017.8%
 
5623687.0%
 
ValueCountFrequency (%) 
5623687.0%
 
415857017.8%
 
344339149.8%
 
216195418.2%
 
1649387.3%
 

KBA13_SEG_KLEINWAGEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.952050053
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:34.681764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9542571479
Coefficient of variation (CV)0.3232523605
Kurtosis0.08442054842
Mean2.952050053
Median Absolute Deviation (MAD)0
Skewness-0.01199374789
Sum2630929
Variance0.9106067042
MonotocityNot monotonic
2020-12-02T12:22:34.770792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344731450.2%
 
216780618.8%
 
415287017.2%
 
1685657.7%
 
5546666.1%
 
ValueCountFrequency (%) 
1685657.7%
 
216780618.8%
 
344731450.2%
 
415287017.2%
 
5546666.1%
 
ValueCountFrequency (%) 
5546666.1%
 
415287017.2%
 
344731450.2%
 
216780618.8%
 
1685657.7%
 

KBA13_SEG_KOMPAKTKLASSE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.955952564
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:34.869793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9554404695
Coefficient of variation (CV)0.3232259141
Kurtosis0.1107090163
Mean2.955952564
Median Absolute Deviation (MAD)0
Skewness0.05357508201
Sum2634407
Variance0.9128664907
MonotocityNot monotonic
2020-12-02T12:22:34.960581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345019850.5%
 
217331419.4%
 
414295216.0%
 
1646027.2%
 
5601556.7%
 
ValueCountFrequency (%) 
1646027.2%
 
217331419.4%
 
345019850.5%
 
414295216.0%
 
5601556.7%
 
ValueCountFrequency (%) 
5601556.7%
 
414295216.0%
 
345019850.5%
 
217331419.4%
 
1646027.2%
 

KBA13_SEG_MINIVANS
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.01679718
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:35.061476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9530768344
Coefficient of variation (CV)0.315923404
Kurtosis0.08942097318
Mean3.01679718
Median Absolute Deviation (MAD)0
Skewness0.03014371734
Sum2688633
Variance0.9083554523
MonotocityNot monotonic
2020-12-02T12:22:35.154096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344766250.2%
 
216143618.1%
 
416004418.0%
 
5651307.3%
 
1569496.4%
 
ValueCountFrequency (%) 
1569496.4%
 
216143618.1%
 
344766250.2%
 
416004418.0%
 
5651307.3%
 
ValueCountFrequency (%) 
5651307.3%
 
416004418.0%
 
344766250.2%
 
216143618.1%
 
1569496.4%
 

KBA13_SEG_MINIWAGEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.103197748
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:35.253692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9505777705
Coefficient of variation (CV)0.3063220097
Kurtosis0.06037301532
Mean3.103197748
Median Absolute Deviation (MAD)1
Skewness0.03857545286
Sum2765635
Variance0.9035980978
MonotocityNot monotonic
2020-12-02T12:22:35.341054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344539850.0%
 
417609319.8%
 
214673916.5%
 
5771508.7%
 
1458415.1%
 
ValueCountFrequency (%) 
1458415.1%
 
214673916.5%
 
344539850.0%
 
417609319.8%
 
5771508.7%
 
ValueCountFrequency (%) 
5771508.7%
 
417609319.8%
 
344539850.0%
 
214673916.5%
 
1458415.1%
 

KBA13_SEG_MITTELKLASSE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.051868167
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:35.436451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.963390568
Coefficient of variation (CV)0.3156724063
Kurtosis0.04107487274
Mean3.051868167
Median Absolute Deviation (MAD)1
Skewness0.04276667314
Sum2719889
Variance0.9281213865
MonotocityNot monotonic
2020-12-02T12:22:35.516853image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344304149.7%
 
416419218.4%
 
215686217.6%
 
5732878.2%
 
1538396.0%
 
ValueCountFrequency (%) 
1538396.0%
 
215686217.6%
 
344304149.7%
 
416419218.4%
 
5732878.2%
 
ValueCountFrequency (%) 
5732878.2%
 
416419218.4%
 
344304149.7%
 
215686217.6%
 
1538396.0%
 

KBA13_SEG_OBEREMITTELKLASSE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.142223983
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:35.610631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9492813951
Coefficient of variation (CV)0.3021049423
Kurtosis0.08279654661
Mean3.142223983
Median Absolute Deviation (MAD)0
Skewness0.009817618162
Sum2800416
Variance0.901135167
MonotocityNot monotonic
2020-12-02T12:22:35.702653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344808450.3%
 
418428520.7%
 
213285214.9%
 
5818309.2%
 
1441705.0%
 
ValueCountFrequency (%) 
1441705.0%
 
213285214.9%
 
344808450.3%
 
418428520.7%
 
5818309.2%
 
ValueCountFrequency (%) 
5818309.2%
 
418428520.7%
 
344808450.3%
 
213285214.9%
 
1441705.0%
 

KBA13_SEG_OBERKLASSE
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.55625709
Minimum0
Maximum5
Zeros86270
Zeros (%)9.7%
Memory size6.8 MiB
2020-12-02T12:22:35.792035image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.398718449
Coefficient of variation (CV)0.5471744036
Kurtosis-0.6409020641
Mean2.55625709
Median Absolute Deviation (MAD)1
Skewness-0.2071361048
Sum2278190
Variance1.956413299
MonotocityNot monotonic
2020-12-02T12:22:35.891286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
338928843.7%
 
115768217.7%
 
49136910.3%
 
0862709.7%
 
5846489.5%
 
2819649.2%
 
ValueCountFrequency (%) 
0862709.7%
 
115768217.7%
 
2819649.2%
 
338928843.7%
 
49136910.3%
 
5846489.5%
 
ValueCountFrequency (%) 
5846489.5%
 
49136910.3%
 
338928843.7%
 
2819649.2%
 
115768217.7%
 
0862709.7%
 

KBA13_SEG_SONSTIGE
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.06295857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:35.990315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9047048285
Coefficient of variation (CV)0.2953695937
Kurtosis0.1682079993
Mean3.06295857
Median Absolute Deviation (MAD)0
Skewness0.1407114867
Sum2729773
Variance0.8184908268
MonotocityNot monotonic
2020-12-02T12:22:36.072042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345806851.4%
 
216767418.8%
 
416553418.6%
 
5645357.2%
 
1354104.0%
 
ValueCountFrequency (%) 
1354104.0%
 
216767418.8%
 
345806851.4%
 
416553418.6%
 
5645357.2%
 
ValueCountFrequency (%) 
5645357.2%
 
416553418.6%
 
345806851.4%
 
216767418.8%
 
1354104.0%
 

KBA13_SEG_SPORTWAGEN
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.618351677
Minimum0
Maximum5
Zeros83421
Zeros (%)9.4%
Memory size6.8 MiB
2020-12-02T12:22:36.156554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.356528453
Coefficient of variation (CV)0.5180848946
Kurtosis-0.3923860714
Mean2.618351677
Median Absolute Deviation (MAD)1
Skewness-0.2338808663
Sum2333530
Variance1.840169443
MonotocityNot monotonic
2020-12-02T12:22:36.265883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
337372241.9%
 
214693016.5%
 
110626711.9%
 
49216810.3%
 
58871310.0%
 
0834219.4%
 
ValueCountFrequency (%) 
0834219.4%
 
110626711.9%
 
214693016.5%
 
337372241.9%
 
49216810.3%
 
58871310.0%
 
ValueCountFrequency (%) 
58871310.0%
 
49216810.3%
 
337372241.9%
 
214693016.5%
 
110626711.9%
 
0834219.4%
 

KBA13_SEG_UTILITIES
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.014180546
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:36.357456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9375634065
Coefficient of variation (CV)0.3110508453
Kurtosis0.1358908679
Mean3.014180546
Median Absolute Deviation (MAD)0
Skewness0.03950787129
Sum2686301
Variance0.8790251411
MonotocityNot monotonic
2020-12-02T12:22:36.452965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345225650.7%
 
216401218.4%
 
416008018.0%
 
5615796.9%
 
1532946.0%
 
ValueCountFrequency (%) 
1532946.0%
 
216401218.4%
 
345225650.7%
 
416008018.0%
 
5615796.9%
 
ValueCountFrequency (%) 
5615796.9%
 
416008018.0%
 
345225650.7%
 
216401218.4%
 
1532946.0%
 

KBA13_SEG_VAN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.041501491
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:36.551971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9497944253
Coefficient of variation (CV)0.312278139
Kurtosis0.08758908333
Mean3.041501491
Median Absolute Deviation (MAD)0
Skewness0.03135681106
Sum2710650
Variance0.9021094504
MonotocityNot monotonic
2020-12-02T12:22:36.637031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344723850.2%
 
416571018.6%
 
215776317.7%
 
5675157.6%
 
1529955.9%
 
ValueCountFrequency (%) 
1529955.9%
 
215776317.7%
 
344723850.2%
 
416571018.6%
 
5675157.6%
 
ValueCountFrequency (%) 
5675157.6%
 
416571018.6%
 
344723850.2%
 
215776317.7%
 
1529955.9%
 

KBA13_SEG_WOHNMOBILE
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.593491401
Minimum0
Maximum5
Zeros85796
Zeros (%)9.6%
Memory size6.8 MiB
2020-12-02T12:22:36.734343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.333319993
Coefficient of variation (CV)0.5141023379
Kurtosis-0.3046119084
Mean2.593491401
Median Absolute Deviation (MAD)1
Skewness-0.2439352591
Sum2311374
Variance1.777742203
MonotocityNot monotonic
2020-12-02T12:22:36.831589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
337494042.1%
 
216520518.5%
 
19532610.7%
 
48895210.0%
 
0857969.6%
 
5810029.1%
 
ValueCountFrequency (%) 
0857969.6%
 
19532610.7%
 
216520518.5%
 
337494042.1%
 
48895210.0%
 
5810029.1%
 
ValueCountFrequency (%) 
5810029.1%
 
48895210.0%
 
337494042.1%
 
216520518.5%
 
19532610.7%
 
0857969.6%
 

KBA13_SITZE_4
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.150609108
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:36.919681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.990664862
Coefficient of variation (CV)0.3144359798
Kurtosis-0.04316084381
Mean3.150609108
Median Absolute Deviation (MAD)1
Skewness-0.02136339955
Sum2807889
Variance0.9814168688
MonotocityNot monotonic
2020-12-02T12:22:37.009197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343425448.7%
 
418169520.4%
 
212930314.5%
 
59344310.5%
 
1525265.9%
 
ValueCountFrequency (%) 
1525265.9%
 
212930314.5%
 
343425448.7%
 
418169520.4%
 
59344310.5%
 
ValueCountFrequency (%) 
59344310.5%
 
418169520.4%
 
343425448.7%
 
212930314.5%
 
1525265.9%
 

KBA13_SITZE_5
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.861470948
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:37.109792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9926850358
Coefficient of variation (CV)0.3469142458
Kurtosis-0.03154794278
Mean2.861470948
Median Absolute Deviation (MAD)1
Skewness0.03008478913
Sum2550203
Variance0.9854235803
MonotocityNot monotonic
2020-12-02T12:22:37.201158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
343602848.9%
 
217969320.2%
 
412878714.5%
 
19149510.3%
 
5552186.2%
 
ValueCountFrequency (%) 
19149510.3%
 
217969320.2%
 
343602848.9%
 
412878714.5%
 
5552186.2%
 
ValueCountFrequency (%) 
5552186.2%
 
412878714.5%
 
343602848.9%
 
217969320.2%
 
19149510.3%
 

KBA13_SITZE_6
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.063259281
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:37.295649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9776120777
Coefficient of variation (CV)0.319141146
Kurtosis0.01933937672
Mean3.063259281
Median Absolute Deviation (MAD)1
Skewness0.007124995159
Sum2730041
Variance0.9557253745
MonotocityNot monotonic
2020-12-02T12:22:37.385452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344202449.6%
 
416652818.7%
 
214729216.5%
 
5769748.6%
 
1584036.6%
 
ValueCountFrequency (%) 
1584036.6%
 
214729216.5%
 
344202449.6%
 
416652818.7%
 
5769748.6%
 
ValueCountFrequency (%) 
5769748.6%
 
416652818.7%
 
344202449.6%
 
214729216.5%
 
1584036.6%
 

KBA13_TOYOTA
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.066066666
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:37.489251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9460159869
Coefficient of variation (CV)0.3085438414
Kurtosis0.08970165421
Mean3.066066666
Median Absolute Deviation (MAD)0
Skewness0.06103344968
Sum2732543
Variance0.8949462475
MonotocityNot monotonic
2020-12-02T12:22:37.584040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344899350.4%
 
416642618.7%
 
215605017.5%
 
5720028.1%
 
1477505.4%
 
ValueCountFrequency (%) 
1477505.4%
 
215605017.5%
 
344899350.4%
 
416642618.7%
 
5720028.1%
 
ValueCountFrequency (%) 
5720028.1%
 
416642618.7%
 
344899350.4%
 
215605017.5%
 
1477505.4%
 

KBA13_VORB_0
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.103601688
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:37.683807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9165527531
Coefficient of variation (CV)0.2953190664
Kurtosis0.1320837822
Mean3.103601688
Median Absolute Deviation (MAD)0
Skewness0.1079401538
Sum2765995
Variance0.8400689492
MonotocityNot monotonic
2020-12-02T12:22:37.764111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
345563751.1%
 
417427619.6%
 
215375217.3%
 
5717308.0%
 
1358264.0%
 
ValueCountFrequency (%) 
1358264.0%
 
215375217.3%
 
345563751.1%
 
417427619.6%
 
5717308.0%
 
ValueCountFrequency (%) 
5717308.0%
 
417427619.6%
 
345563751.1%
 
215375217.3%
 
1358264.0%
 

KBA13_VORB_1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.982955967
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:37.861431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8987916688
Coefficient of variation (CV)0.3013090635
Kurtosis0.2739371435
Mean2.982955967
Median Absolute Deviation (MAD)0
Skewness0.004381225169
Sum2658473
Variance0.8078264639
MonotocityNot monotonic
2020-12-02T12:22:37.950107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346724952.4%
 
216707618.7%
 
415815017.7%
 
1509395.7%
 
5478075.4%
 
ValueCountFrequency (%) 
1509395.7%
 
216707618.7%
 
346724952.4%
 
415815017.7%
 
5478075.4%
 
ValueCountFrequency (%) 
5478075.4%
 
415815017.7%
 
346724952.4%
 
216707618.7%
 
1509395.7%
 

KBA13_VORB_1_2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.926753297
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:38.049101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9034004717
Coefficient of variation (CV)0.3086698399
Kurtosis0.2382948345
Mean2.926753297
Median Absolute Deviation (MAD)0
Skewness-0.05350260485
Sum2608384
Variance0.8161324123
MonotocityNot monotonic
2020-12-02T12:22:38.134151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346506252.2%
 
217304719.4%
 
415112017.0%
 
1618346.9%
 
5401584.5%
 
ValueCountFrequency (%) 
1618346.9%
 
217304719.4%
 
346506252.2%
 
415112017.0%
 
5401584.5%
 
ValueCountFrequency (%) 
5401584.5%
 
415112017.0%
 
346506252.2%
 
217304719.4%
 
1618346.9%
 

KBA13_VORB_2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.009779841
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:38.231921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.886021924
Coefficient of variation (CV)0.2943809749
Kurtosis0.2972752452
Mean3.009779841
Median Absolute Deviation (MAD)0
Skewness0.04152662032
Sum2682379
Variance0.7850348499
MonotocityNot monotonic
2020-12-02T12:22:38.319303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
346966652.7%
 
216631718.7%
 
416251518.2%
 
5494915.6%
 
1432324.9%
 
ValueCountFrequency (%) 
1432324.9%
 
216631718.7%
 
346966652.7%
 
416251518.2%
 
5494915.6%
 
ValueCountFrequency (%) 
5494915.6%
 
416251518.2%
 
346966652.7%
 
216631718.7%
 
1432324.9%
 

KBA13_VORB_3
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.430841508
Minimum0
Maximum5
Zeros143284
Zeros (%)16.1%
Memory size6.8 MiB
2020-12-02T12:22:38.406055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q33
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.395169799
Coefficient of variation (CV)0.5739451931
Kurtosis-0.463994569
Mean2.430841508
Median Absolute Deviation (MAD)1
Skewness-0.3152622926
Sum2166417
Variance1.946498768
MonotocityNot monotonic
2020-12-02T12:22:38.493876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
337048541.6%
 
217745819.9%
 
014328416.1%
 
4811769.1%
 
5641317.2%
 
1546876.1%
 
ValueCountFrequency (%) 
014328416.1%
 
1546876.1%
 
217745819.9%
 
337048541.6%
 
4811769.1%
 
5641317.2%
 
ValueCountFrequency (%) 
5641317.2%
 
4811769.1%
 
337048541.6%
 
217745819.9%
 
1546876.1%
 
014328416.1%
 

KBA13_VW
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.94288622
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:38.580445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9661153125
Coefficient of variation (CV)0.3282883673
Kurtosis0.043970312
Mean2.94288622
Median Absolute Deviation (MAD)1
Skewness0.006921633601
Sum2622762
Variance0.933378797
MonotocityNot monotonic
2020-12-02T12:22:38.668161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
344238849.6%
 
217117519.2%
 
414901816.7%
 
1715068.0%
 
5571346.4%
 
ValueCountFrequency (%) 
1715068.0%
 
217117519.2%
 
344238849.6%
 
414901816.7%
 
5571346.4%
 
ValueCountFrequency (%) 
5571346.4%
 
414901816.7%
 
344238849.6%
 
217117519.2%
 
1715068.0%
 

KKK
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
3
431088 
2
181519 
4
178648 
1
99966 
ValueCountFrequency (%) 
343108848.4%
 
218151920.4%
 
417864820.0%
 
19996611.2%
 
2020-12-02T12:22:38.772518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters6
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
343108816.1%
 
21815196.8%
 
41786486.7%
 
1999663.7%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
343108824.2%
 
218151910.2%
 
417864810.0%
 
1999665.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
343108816.1%
 
21815196.8%
 
41786486.7%
 
1999663.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
343108816.1%
 
21815196.8%
 
41786486.7%
 
1999663.7%
 

KOMBIALTER
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.517954581
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:38.863892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.110462436
Coefficient of variation (CV)0.5999117916
Kurtosis2.058678418
Mean3.517954581
Median Absolute Deviation (MAD)1
Skewness1.584797468
Sum3135275
Variance4.454051693
MonotocityNot monotonic
2020-12-02T12:22:38.942946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
427277030.6%
 
324621427.6%
 
218376420.6%
 
19477910.6%
 
99369410.5%
 
ValueCountFrequency (%) 
19477910.6%
 
218376420.6%
 
324621427.6%
 
427277030.6%
 
99369410.5%
 
ValueCountFrequency (%) 
99369410.5%
 
427277030.6%
 
324621427.6%
 
218376420.6%
 
19477910.6%
 

KONSUMNAEHE
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.850925865
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:39.028576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.585580087
Coefficient of variation (CV)0.5561632125
Kurtosis-1.119206263
Mean2.850925865
Median Absolute Deviation (MAD)2
Skewness0.3041087038
Sum2540805
Variance2.514064214
MonotocityNot monotonic
2020-12-02T12:22:39.115187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
126770730.0%
 
317112719.2%
 
515353517.2%
 
213466515.1%
 
413332415.0%
 
6266253.0%
 
742380.5%
 
ValueCountFrequency (%) 
126770730.0%
 
213466515.1%
 
317112719.2%
 
413332415.0%
 
515353517.2%
 
6266253.0%
 
742380.5%
 
ValueCountFrequency (%) 
742380.5%
 
6266253.0%
 
515353517.2%
 
413332415.0%
 
317112719.2%
 
213466515.1%
 
126770730.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
702746 
1
188475 
ValueCountFrequency (%) 
070274678.9%
 
118847521.1%
 

LP_FAMILIE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.585415963
Minimum0
Maximum11
Zeros72938
Zeros (%)8.2%
Memory size6.8 MiB
2020-12-02T12:22:39.214434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q38
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.920450228
Coefficient of variation (CV)1.093443625
Kurtosis-0.8944620811
Mean3.585415963
Median Absolute Deviation (MAD)1
Skewness0.9494937365
Sum3195398
Variance15.36992999
MonotocityNot monotonic
2020-12-02T12:22:39.295957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
143123348.4%
 
1013791315.5%
 
210430511.7%
 
0729388.2%
 
11517195.8%
 
8230322.6%
 
7207302.3%
 
4123031.4%
 
5119201.3%
 
9111481.3%
 
690221.0%
 
349580.6%
 
ValueCountFrequency (%) 
0729388.2%
 
143123348.4%
 
210430511.7%
 
349580.6%
 
4123031.4%
 
5119201.3%
 
690221.0%
 
7207302.3%
 
8230322.6%
 
9111481.3%
 
ValueCountFrequency (%) 
11517195.8%
 
1013791315.5%
 
9111481.3%
 
8230322.6%
 
7207302.3%
 
690221.0%
 
5119201.3%
 
4123031.4%
 
349580.6%
 
210430511.7%
 

LP_FAMILIE_GROB
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.179506542
Minimum0
Maximum5
Zeros72938
Zeros (%)8.2%
Memory size6.8 MiB
2020-12-02T12:22:39.377850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.753920659
Coefficient of variation (CV)0.8047329178
Kurtosis-1.128965391
Mean2.179506542
Median Absolute Deviation (MAD)1
Skewness0.7021276566
Sum1942422
Variance3.076237678
MonotocityNot monotonic
2020-12-02T12:22:39.466608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
143123348.4%
 
520078022.5%
 
210430511.7%
 
0729388.2%
 
4527845.9%
 
3291813.3%
 
ValueCountFrequency (%) 
0729388.2%
 
143123348.4%
 
210430511.7%
 
3291813.3%
 
4527845.9%
 
520078022.5%
 
ValueCountFrequency (%) 
520078022.5%
 
4527845.9%
 
3291813.3%
 
210430511.7%
 
143123348.4%
 
0729388.2%
 

LP_LEBENSPHASE_FEIN
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.54299551
Minimum0
Maximum40
Zeros97632
Zeros (%)11.0%
Memory size6.8 MiB
2020-12-02T12:22:39.573705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q327
95-th percentile38
Maximum40
Range40
Interquartile range (IQR)23

Descriptive statistics

Standard deviation12.62841872
Coefficient of variation (CV)0.8683505893
Kurtosis-1.054010464
Mean14.54299551
Median Absolute Deviation (MAD)9
Skewness0.5606974616
Sum12961023
Variance159.4769594
MonotocityNot monotonic
2020-12-02T12:22:39.709444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
09763211.0%
 
1626677.0%
 
5555426.2%
 
6456145.1%
 
2394344.4%
 
8304753.4%
 
11267103.0%
 
29265773.0%
 
7265083.0%
 
13260852.9%
 
10257892.9%
 
31239872.7%
 
12233002.6%
 
30223612.5%
 
15200622.3%
 
3199852.2%
 
19194842.2%
 
37185252.1%
 
4175952.0%
 
14175292.0%
 
20171321.9%
 
32171051.9%
 
39161821.8%
 
40151501.7%
 
27144751.6%
 
Other values (16)16531618.5%
 
ValueCountFrequency (%) 
09763211.0%
 
1626677.0%
 
2394344.4%
 
3199852.2%
 
4175952.0%
 
5555426.2%
 
6456145.1%
 
7265083.0%
 
8304753.4%
 
9130661.5%
 
ValueCountFrequency (%) 
40151501.7%
 
39161821.8%
 
38139141.6%
 
37185252.1%
 
36105051.2%
 
35136791.5%
 
34130741.5%
 
3360660.7%
 
32171051.9%
 
31239872.7%
 

LP_LEBENSPHASE_GROB
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.440257804
Minimum0
Maximum12
Zeros89718
Zeros (%)10.1%
Memory size6.8 MiB
2020-12-02T12:22:39.824402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile12
Maximum12
Range12
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.849363423
Coefficient of variation (CV)0.8669234069
Kurtosis-0.7999053343
Mean4.440257804
Median Absolute Deviation (MAD)2
Skewness0.7604981012
Sum3957251
Variance14.81759876
MonotocityNot monotonic
2020-12-02T12:22:39.933990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
216299318.3%
 
113968115.7%
 
311562413.0%
 
08971810.1%
 
12742768.3%
 
4544436.1%
 
5496725.6%
 
9489385.5%
 
10410924.6%
 
11328193.7%
 
8303233.4%
 
6291813.3%
 
7224612.5%
 
ValueCountFrequency (%) 
08971810.1%
 
113968115.7%
 
216299318.3%
 
311562413.0%
 
4544436.1%
 
5496725.6%
 
6291813.3%
 
7224612.5%
 
8303233.4%
 
9489385.5%
 
ValueCountFrequency (%) 
12742768.3%
 
11328193.7%
 
10410924.6%
 
9489385.5%
 
8303233.4%
 
7224612.5%
 
6291813.3%
 
5496725.6%
 
4544436.1%
 
311562413.0%
 

LP_STATUS_FEIN
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.77050249
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:40.039515image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q39
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.4273412
Coefficient of variation (CV)0.7184444839
Kurtosis-1.458301568
Mean4.77050249
Median Absolute Deviation (MAD)3
Skewness0.3783192976
Sum4251572
Variance11.7466677
MonotocityNot monotonic
2020-12-02T12:22:40.126095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
122412925.1%
 
914323816.1%
 
211823613.3%
 
1011802213.2%
 
4783178.8%
 
5744938.4%
 
3741058.3%
 
6309143.5%
 
8197082.2%
 
7100591.1%
 
ValueCountFrequency (%) 
122412925.1%
 
211823613.3%
 
3741058.3%
 
4783178.8%
 
5744938.4%
 
6309143.5%
 
7100591.1%
 
8197082.2%
 
914323816.1%
 
1011802213.2%
 
ValueCountFrequency (%) 
1011802213.2%
 
914323816.1%
 
8197082.2%
 
7100591.1%
 
6309143.5%
 
5744938.4%
 
4783178.8%
 
3741058.3%
 
211823613.3%
 
122412925.1%
 

LP_STATUS_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.424772307
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:40.215676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.474069781
Coefficient of variation (CV)0.6079209076
Kurtosis-1.189878607
Mean2.424772307
Median Absolute Deviation (MAD)1
Skewness0.5789803973
Sum2161008
Variance2.17288172
MonotocityNot monotonic
2020-12-02T12:22:40.306562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
134236538.4%
 
222691525.5%
 
416294618.3%
 
511802213.2%
 
3409734.6%
 
ValueCountFrequency (%) 
134236538.4%
 
222691525.5%
 
3409734.6%
 
416294618.3%
 
511802213.2%
 
ValueCountFrequency (%) 
511802213.2%
 
416294618.3%
 
3409734.6%
 
222691525.5%
 
134236538.4%
 

MIN_GEBAEUDEJAHR
Real number (ℝ≥0)

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1993.143541
Minimum1985
Maximum2016
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:40.433502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1985
5-th percentile1992
Q11992
median1992
Q31992
95-th percentile2000
Maximum2016
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.177874626
Coefficient of variation (CV)0.001594403293
Kurtosis16.29057764
Mean1993.143541
Median Absolute Deviation (MAD)0
Skewness3.792254867
Sum1776331380
Variance10.09888714
MonotocityNot monotonic
2020-12-02T12:22:40.550228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
199266192474.3%
 
1994788358.8%
 
1993254882.9%
 
1995254642.9%
 
1996166111.9%
 
1997144641.6%
 
200073820.8%
 
200158770.7%
 
199158110.7%
 
200555530.6%
 
199944130.5%
 
199044080.5%
 
200242160.5%
 
199840970.5%
 
200333560.4%
 
200429350.3%
 
200821970.2%
 
200721560.2%
 
198920460.2%
 
200920160.2%
 
200619840.2%
 
201119030.2%
 
201218610.2%
 
201014100.2%
 
201312300.1%
 
Other values (7)35840.4%
 
ValueCountFrequency (%) 
1985116< 0.1%
 
1986125< 0.1%
 
19874700.1%
 
198810270.1%
 
198920460.2%
 
199044080.5%
 
199158110.7%
 
199266192474.3%
 
1993254882.9%
 
1994788358.8%
 
ValueCountFrequency (%) 
2016128< 0.1%
 
20157170.1%
 
201410010.1%
 
201312300.1%
 
201218610.2%
 
201119030.2%
 
201014100.2%
 
200920160.2%
 
200821970.2%
 
200721560.2%
 

MOBI_RASTER
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.234708338
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:40.648329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.514329946
Coefficient of variation (CV)0.6776409791
Kurtosis-0.4444260129
Mean2.234708338
Median Absolute Deviation (MAD)0
Skewness0.9144643859
Sum1991619
Variance2.293195186
MonotocityNot monotonic
2020-12-02T12:22:40.729705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
144872750.3%
 
312405513.9%
 
211823113.3%
 
49280410.4%
 
5813759.1%
 
6260292.9%
 
ValueCountFrequency (%) 
144872750.3%
 
211823113.3%
 
312405513.9%
 
49280410.4%
 
5813759.1%
 
6260292.9%
 
ValueCountFrequency (%) 
6260292.9%
 
5813759.1%
 
49280410.4%
 
312405513.9%
 
211823113.3%
 
144872750.3%
 

MOBI_REGIO
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.669800195
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:40.814979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.492232633
Coefficient of variation (CV)0.5589304532
Kurtosis-1.363200604
Mean2.669800195
Median Absolute Deviation (MAD)2
Skewness0.2769795993
Sum2379382
Variance2.226758232
MonotocityNot monotonic
2020-12-02T12:22:40.915535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
129731733.4%
 
315033616.9%
 
514871316.7%
 
414820916.6%
 
214630516.4%
 
6341< 0.1%
 
ValueCountFrequency (%) 
129731733.4%
 
214630516.4%
 
315033616.9%
 
414820916.6%
 
514871316.7%
 
6341< 0.1%
 
ValueCountFrequency (%) 
6341< 0.1%
 
514871316.7%
 
414820916.6%
 
315033616.9%
 
214630516.4%
 
129731733.4%
 

NATIONALITAET_KZ
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
792400 
2
 
65418
3
 
33403
ValueCountFrequency (%) 
179240088.9%
 
2654187.3%
 
3334033.7%
 
2020-12-02T12:22:41.025923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
179240029.6%
 
2654182.4%
 
3334031.2%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
179240044.5%
 
2654183.7%
 
3334031.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
179240029.6%
 
2654182.4%
 
3334031.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
179240029.6%
 
2654182.4%
 
3334031.2%
 

ONLINE_AFFINITAET
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.694886005
Minimum0
Maximum5
Zeros65716
Zeros (%)7.4%
Memory size6.8 MiB
2020-12-02T12:22:41.123727image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.518245586
Coefficient of variation (CV)0.563380263
Kurtosis-1.06067082
Mean2.694886005
Median Absolute Deviation (MAD)1
Skewness-0.01722117413
Sum2401739
Variance2.30506966
MonotocityNot monotonic
2020-12-02T12:22:41.219700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
220270422.7%
 
416470418.5%
 
316348718.3%
 
115649917.6%
 
513811115.5%
 
0657167.4%
 
ValueCountFrequency (%) 
0657167.4%
 
115649917.6%
 
220270422.7%
 
316348718.3%
 
416470418.5%
 
513811115.5%
 
ValueCountFrequency (%) 
513811115.5%
 
416470418.5%
 
316348718.3%
 
220270422.7%
 
115649917.6%
 
0657167.4%
 

ORTSGR_KLS9
Real number (ℝ≥0)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.261040752
Minimum0
Maximum9
Zeros58
Zeros (%)< 0.1%
Memory size6.8 MiB
2020-12-02T12:22:41.309556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median5
Q37
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.176380998
Coefficient of variation (CV)0.4136787948
Kurtosis-0.6955692891
Mean5.261040752
Median Absolute Deviation (MAD)2
Skewness0.03500966697
Sum4688750
Variance4.736634248
MonotocityNot monotonic
2020-12-02T12:22:41.395862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
524531227.5%
 
411490912.9%
 
710286611.5%
 
99187910.3%
 
3835429.4%
 
6759958.5%
 
8727098.2%
 
2633627.1%
 
1405894.6%
 
058< 0.1%
 
ValueCountFrequency (%) 
058< 0.1%
 
1405894.6%
 
2633627.1%
 
3835429.4%
 
411490912.9%
 
524531227.5%
 
6759958.5%
 
710286611.5%
 
8727098.2%
 
99187910.3%
 
ValueCountFrequency (%) 
99187910.3%
 
8727098.2%
 
710286611.5%
 
6759958.5%
 
524531227.5%
 
411490912.9%
 
3835429.4%
 
2633627.1%
 
1405894.6%
 
058< 0.1%
 

PLZ8_ANTG1
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.220210251
Minimum0
Maximum4
Zeros5470
Zeros (%)0.6%
Memory size6.8 MiB
2020-12-02T12:22:41.484917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.910259599
Coefficient of variation (CV)0.4099880174
Kurtosis-0.5337515831
Mean2.220210251
Median Absolute Deviation (MAD)1
Skewness0.2802063839
Sum1978698
Variance0.8285725376
MonotocityNot monotonic
2020-12-02T12:22:41.571357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
238710543.4%
 
322235524.9%
 
118924721.2%
 
4870449.8%
 
054700.6%
 
ValueCountFrequency (%) 
054700.6%
 
118924721.2%
 
238710543.4%
 
322235524.9%
 
4870449.8%
 
ValueCountFrequency (%) 
4870449.8%
 
322235524.9%
 
238710543.4%
 
118924721.2%
 
054700.6%
 

PLZ8_ANTG2
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.827762138
Minimum0
Maximum4
Zeros7438
Zeros (%)0.8%
Memory size6.8 MiB
2020-12-02T12:22:41.664773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8606396165
Coefficient of variation (CV)0.3043536106
Kurtosis0.132808757
Mean2.827762138
Median Absolute Deviation (MAD)1
Skewness-0.5379779342
Sum2520161
Variance0.7407005494
MonotocityNot monotonic
2020-12-02T12:22:41.750535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342379847.6%
 
221576724.2%
 
419100521.4%
 
1532136.0%
 
074380.8%
 
ValueCountFrequency (%) 
074380.8%
 
1532136.0%
 
221576724.2%
 
342379847.6%
 
419100521.4%
 
ValueCountFrequency (%) 
419100521.4%
 
342379847.6%
 
221576724.2%
 
1532136.0%
 
074380.8%
 

PLZ8_ANTG3
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
369509 
1
237878 
3
164040 
0
119794 
ValueCountFrequency (%) 
236950941.5%
 
123787826.7%
 
316404018.4%
 
011979413.4%
 
2020-12-02T12:22:41.858276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0101101537.8%
 
.89122133.3%
 
236950913.8%
 
12378788.9%
 
31640406.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0101101556.7%
 
236950920.7%
 
123787813.3%
 
31640409.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0101101537.8%
 
.89122133.3%
 
236950913.8%
 
12378788.9%
 
31640406.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0101101537.8%
 
.89122133.3%
 
236950913.8%
 
12378788.9%
 
31640406.1%
 

PLZ8_ANTG4
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
472904 
1
294986 
2
123331 
ValueCountFrequency (%) 
047290453.1%
 
129498633.1%
 
212333113.8%
 
2020-12-02T12:22:41.960061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0136412551.0%
 
.89122133.3%
 
129498611.0%
 
21233314.6%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0136412576.5%
 
129498616.5%
 
21233316.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0136412551.0%
 
.89122133.3%
 
129498611.0%
 
21233314.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0136412551.0%
 
.89122133.3%
 
129498611.0%
 
21233314.6%
 

PLZ8_BAUMAX
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.820509167
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:42.046519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.397604108
Coefficient of variation (CV)0.7676995721
Kurtosis0.4124660965
Mean1.820509167
Median Absolute Deviation (MAD)0
Skewness1.421582833
Sum1622476
Variance1.953297243
MonotocityNot monotonic
2020-12-02T12:22:42.129849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
161606569.1%
 
59733310.9%
 
2704077.9%
 
4566846.4%
 
3507325.7%
 
ValueCountFrequency (%) 
161606569.1%
 
2704077.9%
 
3507325.7%
 
4566846.4%
 
59733310.9%
 
ValueCountFrequency (%) 
59733310.9%
 
4566846.4%
 
3507325.7%
 
2704077.9%
 
161606569.1%
 

PLZ8_GBZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.331264636
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:42.221888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.04432237
Coefficient of variation (CV)0.3134912665
Kurtosis-0.3737846862
Mean3.331264636
Median Absolute Deviation (MAD)1
Skewness-0.02306291385
Sum2968893
Variance1.090609212
MonotocityNot monotonic
2020-12-02T12:22:42.322181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
340489845.4%
 
418025220.2%
 
515388317.3%
 
211158812.5%
 
1406004.6%
 
ValueCountFrequency (%) 
1406004.6%
 
211158812.5%
 
340489845.4%
 
418025220.2%
 
515388317.3%
 
ValueCountFrequency (%) 
515388317.3%
 
418025220.2%
 
340489845.4%
 
211158812.5%
 
1406004.6%
 

PLZ8_HHZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.532702887
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:42.435877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9312743692
Coefficient of variation (CV)0.2636152541
Kurtosis-0.4955690156
Mean3.532702887
Median Absolute Deviation (MAD)1
Skewness0.1306112402
Sum3148419
Variance0.8672719508
MonotocityNot monotonic
2020-12-02T12:22:42.524130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
342566147.8%
 
421191123.8%
 
517581319.7%
 
2668917.5%
 
1109451.2%
 
ValueCountFrequency (%) 
1109451.2%
 
2668917.5%
 
342566147.8%
 
421191123.8%
 
517581319.7%
 
ValueCountFrequency (%) 
517581319.7%
 
421191123.8%
 
342566147.8%
 
2668917.5%
 
1109451.2%
 

PRAEGENDE_JUGENDJAHRE
Real number (ℝ≥0)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.853470688
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:42.620332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median10
Q314
95-th percentile14
Maximum15
Range14
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.081629976
Coefficient of variation (CV)0.4142327211
Kurtosis-1.062066795
Mean9.853470688
Median Absolute Deviation (MAD)4
Skewness-0.4160378587
Sum8781620
Variance16.65970326
MonotocityNot monotonic
2020-12-02T12:22:42.721006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
1429686133.3%
 
814598816.4%
 
5864169.7%
 
10858089.6%
 
3551956.2%
 
15425474.8%
 
11357524.0%
 
9335703.8%
 
6256522.9%
 
12244462.7%
 
1212822.4%
 
4204512.3%
 
274790.8%
 
1357640.6%
 
740100.4%
 
ValueCountFrequency (%) 
1212822.4%
 
274790.8%
 
3551956.2%
 
4204512.3%
 
5864169.7%
 
6256522.9%
 
740100.4%
 
814598816.4%
 
9335703.8%
 
10858089.6%
 
ValueCountFrequency (%) 
15425474.8%
 
1429686133.3%
 
1357640.6%
 
12244462.7%
 
11357524.0%
 
10858089.6%
 
9335703.8%
 
814598816.4%
 
740100.4%
 
6256522.9%
 

REGIOTYP
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.743071584
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:44.029525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.764860677
Coefficient of variation (CV)0.3720923553
Kurtosis-0.6990197294
Mean4.743071584
Median Absolute Deviation (MAD)1
Skewness-0.7393041696
Sum4227125
Variance3.11473321
MonotocityNot monotonic
2020-12-02T12:22:44.111695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
635335039.6%
 
514535916.3%
 
39392910.5%
 
29166210.3%
 
7839439.4%
 
4681807.7%
 
1547986.1%
 
ValueCountFrequency (%) 
1547986.1%
 
29166210.3%
 
39392910.5%
 
4681807.7%
 
514535916.3%
 
635335039.6%
 
7839439.4%
 
ValueCountFrequency (%) 
7839439.4%
 
635335039.6%
 
514535916.3%
 
4681807.7%
 
39392910.5%
 
29166210.3%
 
1547986.1%
 

RELAT_AB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.063271624
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:44.208345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.284248146
Coefficient of variation (CV)0.4192407021
Kurtosis-0.8301443673
Mean3.063271624
Median Absolute Deviation (MAD)1
Skewness-0.01615753683
Sum2730052
Variance1.649293302
MonotocityNot monotonic
2020-12-02T12:22:44.303247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
337138341.7%
 
517496419.6%
 
114290716.0%
 
210484611.8%
 
49712110.9%
 
ValueCountFrequency (%) 
114290716.0%
 
210484611.8%
 
337138341.7%
 
49712110.9%
 
517496419.6%
 
ValueCountFrequency (%) 
517496419.6%
 
49712110.9%
 
337138341.7%
 
210484611.8%
 
114290716.0%
 

RETOURTYP_BK_S
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.428237216
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:44.402465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.418651131
Coefficient of variation (CV)0.4138135844
Kurtosis-1.122318312
Mean3.428237216
Median Absolute Deviation (MAD)1
Skewness-0.3748567181
Sum3055317
Variance2.01257103
MonotocityNot monotonic
2020-12-02T12:22:44.495623image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
530284734.0%
 
323181626.0%
 
413111514.7%
 
112971214.6%
 
29573110.7%
 
ValueCountFrequency (%) 
112971214.6%
 
29573110.7%
 
323181626.0%
 
413111514.7%
 
530284734.0%
 
ValueCountFrequency (%) 
530284734.0%
 
413111514.7%
 
323181626.0%
 
29573110.7%
 
112971214.6%
 

RT_KEIN_ANREIZ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.24334256
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:44.598552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.390988371
Coefficient of variation (CV)0.4288749477
Kurtosis-1.18997876
Mean3.24334256
Median Absolute Deviation (MAD)1
Skewness-0.2515338032
Sum2890535
Variance1.934848648
MonotocityNot monotonic
2020-12-02T12:22:44.689070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
521638824.3%
 
420670723.2%
 
318665520.9%
 
114114015.8%
 
214033115.7%
 
ValueCountFrequency (%) 
114114015.8%
 
214033115.7%
 
318665520.9%
 
420670723.2%
 
521638824.3%
 
ValueCountFrequency (%) 
521638824.3%
 
420670723.2%
 
318665520.9%
 
214033115.7%
 
114114015.8%
 

RT_SCHNAEPPCHEN
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.86998511
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:44.788624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.281979631
Coefficient of variation (CV)0.3312621611
Kurtosis-0.6092655475
Mean3.86998511
Median Absolute Deviation (MAD)1
Skewness-0.8036901462
Sum3449012
Variance1.643471774
MonotocityNot monotonic
2020-12-02T12:22:44.883397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
540735845.7%
 
418205920.4%
 
313353815.0%
 
211510612.9%
 
1531606.0%
 
ValueCountFrequency (%) 
1531606.0%
 
211510612.9%
 
313353815.0%
 
418205920.4%
 
540735845.7%
 
ValueCountFrequency (%) 
540735845.7%
 
418205920.4%
 
313353815.0%
 
211510612.9%
 
1531606.0%
 

RT_UEBERGROESSE
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.137401385
Minimum0
Maximum5
Zeros24758
Zeros (%)2.8%
Memory size6.8 MiB
2020-12-02T12:22:44.989458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.529691445
Coefficient of variation (CV)0.487566383
Kurtosis-1.205149741
Mean3.137401385
Median Absolute Deviation (MAD)1
Skewness-0.2480561369
Sum2796118
Variance2.339955918
MonotocityNot monotonic
2020-12-02T12:22:45.084879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
524000026.9%
 
416846718.9%
 
315586517.5%
 
215252417.1%
 
114960716.8%
 
0247582.8%
 
ValueCountFrequency (%) 
0247582.8%
 
114960716.8%
 
215252417.1%
 
315586517.5%
 
416846718.9%
 
524000026.9%
 
ValueCountFrequency (%) 
524000026.9%
 
416846718.9%
 
315586517.5%
 
215252417.1%
 
114960716.8%
 
0247582.8%
 

SEMIO_DOM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.667550473
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:45.169231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.79571208
Coefficient of variation (CV)0.3847225843
Kurtosis-0.9093931002
Mean4.667550473
Median Absolute Deviation (MAD)1
Skewness-0.4131770759
Sum4159819
Variance3.224581876
MonotocityNot monotonic
2020-12-02T12:22:45.247584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
618343520.6%
 
517788920.0%
 
716149518.1%
 
412511514.0%
 
210149811.4%
 
39702710.9%
 
1447625.0%
 
ValueCountFrequency (%) 
1447625.0%
 
210149811.4%
 
39702710.9%
 
412511514.0%
 
517788920.0%
 
618343520.6%
 
716149518.1%
 
ValueCountFrequency (%) 
716149518.1%
 
618343520.6%
 
517788920.0%
 
412511514.0%
 
39702710.9%
 
210149811.4%
 
1447625.0%
 

SEMIO_ERL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.481404725
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:45.336396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.807551899
Coefficient of variation (CV)0.4033449354
Kurtosis-1.105118991
Mean4.481404725
Median Absolute Deviation (MAD)1
Skewness-0.04328868758
Sum3993922
Variance3.267243868
MonotocityNot monotonic
2020-12-02T12:22:45.431293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
419620622.0%
 
318082420.3%
 
717914120.1%
 
613920915.6%
 
2770128.6%
 
5761338.5%
 
1426964.8%
 
ValueCountFrequency (%) 
1426964.8%
 
2770128.6%
 
318082420.3%
 
419620622.0%
 
5761338.5%
 
613920915.6%
 
717914120.1%
 
ValueCountFrequency (%) 
717914120.1%
 
613920915.6%
 
5761338.5%
 
419620622.0%
 
318082420.3%
 
2770128.6%
 
1426964.8%
 

SEMIO_FAM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.272729211
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:45.531671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.915885028
Coefficient of variation (CV)0.4483984202
Kurtosis-1.19892824
Mean4.272729211
Median Absolute Deviation (MAD)2
Skewness-0.2058485462
Sum3807946
Variance3.67061544
MonotocityNot monotonic
2020-12-02T12:22:45.618693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
618672921.0%
 
213956215.7%
 
413594215.3%
 
513374015.0%
 
711851713.3%
 
39481510.6%
 
1819169.2%
 
ValueCountFrequency (%) 
1819169.2%
 
213956215.7%
 
39481510.6%
 
413594215.3%
 
513374015.0%
 
618672921.0%
 
711851713.3%
 
ValueCountFrequency (%) 
711851713.3%
 
618672921.0%
 
513374015.0%
 
413594215.3%
 
39481510.6%
 
213956215.7%
 
1819169.2%
 

SEMIO_KAEM
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.445007467
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:45.712227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.852412242
Coefficient of variation (CV)0.4167399618
Kurtosis-1.236079929
Mean4.445007467
Median Absolute Deviation (MAD)2
Skewness-0.1927373604
Sum3961484
Variance3.431431115
MonotocityNot monotonic
2020-12-02T12:22:45.802413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
620600123.1%
 
318095520.3%
 
713557915.2%
 
512850114.4%
 
211403812.8%
 
4789448.9%
 
1472035.3%
 
ValueCountFrequency (%) 
1472035.3%
 
211403812.8%
 
318095520.3%
 
4789448.9%
 
512850114.4%
 
620600123.1%
 
713557915.2%
 
ValueCountFrequency (%) 
713557915.2%
 
620600123.1%
 
512850114.4%
 
4789448.9%
 
318095520.3%
 
211403812.8%
 
1472035.3%
 

SEMIO_KRIT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.76322259
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:45.895778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.830789358
Coefficient of variation (CV)0.3843593961
Kurtosis-0.8752505716
Mean4.76322259
Median Absolute Deviation (MAD)2
Skewness-0.3882238006
Sum4245084
Variance3.351789675
MonotocityNot monotonic
2020-12-02T12:22:45.971086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
721984724.7%
 
515629817.5%
 
414407916.2%
 
613304914.9%
 
312910614.5%
 
1549476.2%
 
2538956.0%
 
ValueCountFrequency (%) 
1549476.2%
 
2538956.0%
 
312910614.5%
 
414407916.2%
 
515629817.5%
 
613304914.9%
 
721984724.7%
 
ValueCountFrequency (%) 
721984724.7%
 
613304914.9%
 
515629817.5%
 
414407916.2%
 
312910614.5%
 
2538956.0%
 
1549476.2%
 

SEMIO_KULT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.025013998
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:46.056774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.90381623
Coefficient of variation (CV)0.4729961763
Kurtosis-1.05018586
Mean4.025013998
Median Absolute Deviation (MAD)1
Skewness-0.03536077331
Sum3587177
Variance3.624516239
MonotocityNot monotonic
2020-12-02T12:22:46.136653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
320906723.5%
 
517628219.8%
 
112821614.4%
 
711737813.2%
 
410150211.4%
 
610128611.4%
 
2574906.5%
 
ValueCountFrequency (%) 
112821614.4%
 
2574906.5%
 
320906723.5%
 
410150211.4%
 
517628219.8%
 
610128611.4%
 
711737813.2%
 
ValueCountFrequency (%) 
711737813.2%
 
610128611.4%
 
517628219.8%
 
410150211.4%
 
320906723.5%
 
2574906.5%
 
112821614.4%
 

SEMIO_LUST
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.359086018
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:46.222380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.022829383
Coefficient of variation (CV)0.4640489714
Kurtosis-1.207111475
Mean4.359086018
Median Absolute Deviation (MAD)2
Skewness-0.3030834485
Sum3884909
Variance4.091838712
MonotocityNot monotonic
2020-12-02T12:22:46.303184image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
517004019.1%
 
615862417.8%
 
715823417.8%
 
211437312.8%
 
111038212.4%
 
49749510.9%
 
3820739.2%
 
ValueCountFrequency (%) 
111038212.4%
 
211437312.8%
 
3820739.2%
 
49749510.9%
 
517004019.1%
 
615862417.8%
 
715823417.8%
 
ValueCountFrequency (%) 
715823417.8%
 
615862417.8%
 
517004019.1%
 
49749510.9%
 
3820739.2%
 
211437312.8%
 
111038212.4%
 

SEMIO_MAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.001596686
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:46.393223image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.857540107
Coefficient of variation (CV)0.4641997315
Kurtosis-1.036445759
Mean4.001596686
Median Absolute Deviation (MAD)1
Skewness0.01186754272
Sum3566307
Variance3.45045525
MonotocityNot monotonic
2020-12-02T12:22:46.473134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
517126719.2%
 
416286218.3%
 
213454915.1%
 
312370113.9%
 
711197612.6%
 
19734110.9%
 
68952510.0%
 
ValueCountFrequency (%) 
19734110.9%
 
213454915.1%
 
312370113.9%
 
416286218.3%
 
517126719.2%
 
68952510.0%
 
711197612.6%
 
ValueCountFrequency (%) 
711197612.6%
 
68952510.0%
 
517126719.2%
 
416286218.3%
 
312370113.9%
 
213454915.1%
 
19734110.9%
 

SEMIO_PFLICHT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.256075654
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:46.561285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.770136694
Coefficient of variation (CV)0.4159081836
Kurtosis-0.8653655223
Mean4.256075654
Median Absolute Deviation (MAD)1
Skewness-0.1694070752
Sum3793104
Variance3.133383917
MonotocityNot monotonic
2020-12-02T12:22:46.642393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
520384522.9%
 
416211718.2%
 
313399015.0%
 
711545813.0%
 
610944212.3%
 
29221410.3%
 
1741558.3%
 
ValueCountFrequency (%) 
1741558.3%
 
29221410.3%
 
313399015.0%
 
416211718.2%
 
520384522.9%
 
610944212.3%
 
711545813.0%
 
ValueCountFrequency (%) 
711545813.0%
 
610944212.3%
 
520384522.9%
 
416211718.2%
 
313399015.0%
 
29221410.3%
 
1741558.3%
 

SEMIO_RAT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.910139012
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:46.742100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.580305974
Coefficient of variation (CV)0.404155957
Kurtosis-0.3831343065
Mean3.910139012
Median Absolute Deviation (MAD)1
Skewness0.2879717072
Sum3484798
Variance2.497366972
MonotocityNot monotonic
2020-12-02T12:22:46.844269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
433445637.5%
 
214043315.8%
 
313199414.8%
 
58905610.0%
 
7870249.8%
 
6614846.9%
 
1467745.2%
 
ValueCountFrequency (%) 
1467745.2%
 
214043315.8%
 
313199414.8%
 
433445637.5%
 
58905610.0%
 
6614846.9%
 
7870249.8%
 
ValueCountFrequency (%) 
7870249.8%
 
6614846.9%
 
58905610.0%
 
433445637.5%
 
313199414.8%
 
214043315.8%
 
1467745.2%
 

SEMIO_REL
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.240609232
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:46.945917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.007372556
Coefficient of variation (CV)0.4733689067
Kurtosis-1.134701252
Mean4.240609232
Median Absolute Deviation (MAD)2
Skewness0.00215072809
Sum3779320
Variance4.029544578
MonotocityNot monotonic
2020-12-02T12:22:47.033600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
721137723.7%
 
420712823.2%
 
315080116.9%
 
110813012.1%
 
5795668.9%
 
2731278.2%
 
6610926.9%
 
ValueCountFrequency (%) 
110813012.1%
 
2731278.2%
 
315080116.9%
 
420712823.2%
 
5795668.9%
 
6610926.9%
 
721137723.7%
 
ValueCountFrequency (%) 
721137723.7%
 
6610926.9%
 
5795668.9%
 
420712823.2%
 
315080116.9%
 
2731278.2%
 
110813012.1%
 

SEMIO_SOZ
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.945859669
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:47.126998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.946564233
Coefficient of variation (CV)0.4933181603
Kurtosis-1.353534476
Mean3.945859669
Median Absolute Deviation (MAD)2
Skewness0.1789455842
Sum3516633
Variance3.789112312
MonotocityNot monotonic
2020-12-02T12:22:47.209976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
224471427.5%
 
613620515.3%
 
512178613.7%
 
311888913.3%
 
711737813.2%
 
49016110.1%
 
1620887.0%
 
ValueCountFrequency (%) 
1620887.0%
 
224471427.5%
 
311888913.3%
 
49016110.1%
 
512178613.7%
 
613620515.3%
 
711737813.2%
 
ValueCountFrequency (%) 
711737813.2%
 
613620515.3%
 
512178613.7%
 
49016110.1%
 
311888913.3%
 
224471427.5%
 
1620887.0%
 

SEMIO_TRADV
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.661784226
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:47.298432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.707636767
Coefficient of variation (CV)0.4663400849
Kurtosis-0.655924441
Mean3.661784226
Median Absolute Deviation (MAD)1
Skewness0.3343106362
Sum3263459
Variance2.916023328
MonotocityNot monotonic
2020-12-02T12:22:47.375641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
322657125.4%
 
417420319.5%
 
213265714.9%
 
511737813.2%
 
19677510.9%
 
7761338.5%
 
6675047.6%
 
ValueCountFrequency (%) 
19677510.9%
 
213265714.9%
 
322657125.4%
 
417420319.5%
 
511737813.2%
 
6675047.6%
 
7761338.5%
 
ValueCountFrequency (%) 
7761338.5%
 
6675047.6%
 
511737813.2%
 
417420319.5%
 
322657125.4%
 
213265714.9%
 
19677510.9%
 

SEMIO_VERT
Real number (ℝ≥0)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.023709046
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:47.456616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.077746254
Coefficient of variation (CV)0.5163758687
Kurtosis-1.411240267
Mean4.023709046
Median Absolute Deviation (MAD)2
Skewness-0.03560142861
Sum3586014
Variance4.317029496
MonotocityNot monotonic
2020-12-02T12:22:47.535989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
220433322.9%
 
614171415.9%
 
513520515.2%
 
713475615.1%
 
412298213.8%
 
112043713.5%
 
3317943.6%
 
ValueCountFrequency (%) 
112043713.5%
 
220433322.9%
 
3317943.6%
 
412298213.8%
 
513520515.2%
 
614171415.9%
 
713475615.1%
 
ValueCountFrequency (%) 
713475615.1%
 
614171415.9%
 
513520515.2%
 
412298213.8%
 
3317943.6%
 
220433322.9%
 
112043713.5%
 

SHOPPER_TYP
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
1
365957 
2
207463 
3
190219 
0
127582 
ValueCountFrequency (%) 
136595741.1%
 
220746323.3%
 
319021921.3%
 
012758214.3%
 
2020-12-02T12:22:47.644535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0101880338.1%
 
.89122133.3%
 
136595713.7%
 
22074637.8%
 
31902197.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0101880357.2%
 
136595720.5%
 
220746311.6%
 
319021910.7%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
0101880338.1%
 
.89122133.3%
 
136595713.7%
 
22074637.8%
 
31902197.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0101880338.1%
 
.89122133.3%
 
136595713.7%
 
22074637.8%
 
31902197.1%
 

SOHO_KZ
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
884333 
1
 
6888
ValueCountFrequency (%) 
088433399.2%
 
168880.8%
 

STRUKTURTYP
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
3
652987 
1
127607 
2
110627 
ValueCountFrequency (%) 
365298773.3%
 
112760714.3%
 
211062712.4%
 
2020-12-02T12:22:47.759375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters5
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
365298724.4%
 
11276074.8%
 
21106274.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
365298736.6%
 
11276077.2%
 
21106276.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
365298724.4%
 
11276074.8%
 
21106274.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
365298724.4%
 
11276074.8%
 
21106274.1%
 

UMFELD_ALT
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.308364592
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:47.847924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.209512471
Coefficient of variation (CV)0.3655922548
Kurtosis-0.7020665435
Mean3.308364592
Median Absolute Deviation (MAD)1
Skewness-0.4740802249
Sum2948484
Variance1.462920417
MonotocityNot monotonic
2020-12-02T12:22:47.931331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
432600836.6%
 
320873323.4%
 
513516015.2%
 
212113313.6%
 
110018711.2%
 
ValueCountFrequency (%) 
110018711.2%
 
212113313.6%
 
320873323.4%
 
432600836.6%
 
513516015.2%
 
ValueCountFrequency (%) 
513516015.2%
 
432600836.6%
 
320873323.4%
 
212113313.6%
 
110018711.2%
 

UMFELD_JUNG
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.125324695
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:48.024806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.099028499
Coefficient of variation (CV)0.266410181
Kurtosis0.6304559136
Mean4.125324695
Median Absolute Deviation (MAD)0
Skewness-1.191789773
Sum3676576
Variance1.207863641
MonotocityNot monotonic
2020-12-02T12:22:48.110642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
544831850.3%
 
422593925.4%
 
313040314.6%
 
2534606.0%
 
1331013.7%
 
ValueCountFrequency (%) 
1331013.7%
 
2534606.0%
 
313040314.6%
 
422593925.4%
 
544831850.3%
 
ValueCountFrequency (%) 
544831850.3%
 
422593925.4%
 
313040314.6%
 
2534606.0%
 
1331013.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
0
817571 
1
 
73650
ValueCountFrequency (%) 
081757191.7%
 
1736508.3%
 

VERDICHTUNGSRAUM
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.085238117
Minimum0
Maximum45
Zeros466056
Zeros (%)52.3%
Memory size6.8 MiB
2020-12-02T12:22:48.227114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile23
Maximum45
Range45
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.122702357
Coefficient of variation (CV)1.98830573
Kurtosis7.515669634
Mean4.085238117
Median Absolute Deviation (MAD)0
Skewness2.724995751
Sum3640850
Variance65.97829358
MonotocityNot monotonic
2020-12-02T12:22:48.336481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
046605652.3%
 
111123512.5%
 
2476135.3%
 
3298273.3%
 
4269963.0%
 
5240192.7%
 
6218822.5%
 
7132381.5%
 
8118641.3%
 
10110341.2%
 
994251.1%
 
1387071.0%
 
1182260.9%
 
1481800.9%
 
1280460.9%
 
1569420.8%
 
1664350.7%
 
1755020.6%
 
1850610.6%
 
2035380.4%
 
2234920.4%
 
2133640.4%
 
1933000.4%
 
2332390.4%
 
2429800.3%
 
Other values (21)410204.6%
 
ValueCountFrequency (%) 
046605652.3%
 
111123512.5%
 
2476135.3%
 
3298273.3%
 
4269963.0%
 
5240192.7%
 
6218822.5%
 
7132381.5%
 
8118641.3%
 
994251.1%
 
ValueCountFrequency (%) 
4511650.1%
 
4414350.2%
 
4313210.1%
 
4213240.1%
 
4113290.1%
 
4013590.2%
 
3916600.2%
 
3816220.2%
 
3713480.2%
 
3619590.2%
 

VERS_TYP
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
509918 
1
381303 
ValueCountFrequency (%) 
250991857.2%
 
138130342.8%
 
2020-12-02T12:22:48.449838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters4
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
250991819.1%
 
138130314.3%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number178244266.7%
 
Other Punctuation89122133.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
089122150.0%
 
250991828.6%
 
138130321.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
.891221100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common2673663100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
250991819.1%
 
138130314.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2673663100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
.89122133.3%
 
089122133.3%
 
250991819.1%
 
138130314.3%
 

VHA
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4026307728
Minimum0
Maximum5
Zeros739046
Zeros (%)82.9%
Memory size6.8 MiB
2020-12-02T12:22:48.531860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.101765106
Coefficient of variation (CV)2.736415546
Kurtosis8.451510299
Mean0.4026307728
Median Absolute Deviation (MAD)0
Skewness3.056062054
Sum358833
Variance1.213886349
MonotocityNot monotonic
2020-12-02T12:22:48.619453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
073904682.9%
 
1810169.1%
 
4244692.7%
 
5223722.5%
 
3194452.2%
 
248730.5%
 
ValueCountFrequency (%) 
073904682.9%
 
1810169.1%
 
248730.5%
 
3194452.2%
 
4244692.7%
 
5223722.5%
 
ValueCountFrequency (%) 
5223722.5%
 
4244692.7%
 
3194452.2%
 
248730.5%
 
1810169.1%
 
073904682.9%
 

VHN
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.360570498
Minimum0
Maximum4
Zeros36868
Zeros (%)4.1%
Memory size6.8 MiB
2020-12-02T12:22:48.705434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.093749309
Coefficient of variation (CV)0.4633410906
Kurtosis-0.6839888365
Mean2.360570498
Median Absolute Deviation (MAD)1
Skewness-0.02095296972
Sum2103790
Variance1.196287551
MonotocityNot monotonic
2020-12-02T12:22:48.793929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
235504039.8%
 
317957920.1%
 
417841320.0%
 
114132115.9%
 
0368684.1%
 
ValueCountFrequency (%) 
0368684.1%
 
114132115.9%
 
235504039.8%
 
317957920.1%
 
417841320.0%
 
ValueCountFrequency (%) 
417841320.0%
 
317957920.1%
 
235504039.8%
 
114132115.9%
 
0368684.1%
 

VK_DHT4A
Real number (ℝ≥0)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.341843381
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:48.888088image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q39
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.95101208
Coefficient of variation (CV)0.4653240237
Kurtosis-1.228826434
Mean6.341843381
Median Absolute Deviation (MAD)3
Skewness-0.2674873903
Sum5651984
Variance8.708472295
MonotocityNot monotonic
2020-12-02T12:22:48.976085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
1019041721.4%
 
79669310.8%
 
9882389.9%
 
8860909.7%
 
3825709.3%
 
6800789.0%
 
2742008.3%
 
5706717.9%
 
4701987.9%
 
1495355.6%
 
1125310.3%
 
ValueCountFrequency (%) 
1495355.6%
 
2742008.3%
 
3825709.3%
 
4701987.9%
 
5706717.9%
 
6800789.0%
 
79669310.8%
 
8860909.7%
 
9882389.9%
 
1019041721.4%
 
ValueCountFrequency (%) 
1125310.3%
 
1019041721.4%
 
9882389.9%
 
8860909.7%
 
79669310.8%
 
6800789.0%
 
5706717.9%
 
4701987.9%
 
3825709.3%
 
2742008.3%
 

VK_DISTANZ
Real number (ℝ≥0)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.742351224
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:49.058622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median8
Q310
95-th percentile12
Maximum13
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.181857035
Coefficient of variation (CV)0.4109677982
Kurtosis-0.6603119853
Mean7.742351224
Median Absolute Deviation (MAD)2
Skewness-0.5027881258
Sum6900146
Variance10.12421419
MonotocityNot monotonic
2020-12-02T12:22:49.151348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%) 
1017023719.1%
 
89210410.3%
 
98906710.0%
 
7842229.5%
 
6832919.3%
 
11799909.0%
 
3714108.0%
 
12599946.7%
 
1448585.0%
 
5387914.4%
 
4297863.3%
 
13275543.1%
 
2199172.2%
 
ValueCountFrequency (%) 
1448585.0%
 
2199172.2%
 
3714108.0%
 
4297863.3%
 
5387914.4%
 
6832919.3%
 
7842229.5%
 
89210410.3%
 
98906710.0%
 
1017023719.1%
 
ValueCountFrequency (%) 
13275543.1%
 
12599946.7%
 
11799909.0%
 
1017023719.1%
 
98906710.0%
 
89210410.3%
 
7842229.5%
 
6832919.3%
 
5387914.4%
 
4297863.3%
 

VK_ZG11
Real number (ℝ≥0)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.291307094
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:49.241477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile10
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.8822664
Coefficient of variation (CV)0.4581347495
Kurtosis-1.146782289
Mean6.291307094
Median Absolute Deviation (MAD)3
Skewness-0.2049159171
Sum5606945
Variance8.307459599
MonotocityNot monotonic
2020-12-02T12:22:49.330571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
1017385519.5%
 
59777711.0%
 
6885819.9%
 
7885529.9%
 
4866009.7%
 
8839949.4%
 
9821349.2%
 
3696347.8%
 
2599166.7%
 
1520095.8%
 
1181690.9%
 
ValueCountFrequency (%) 
1520095.8%
 
2599166.7%
 
3696347.8%
 
4866009.7%
 
59777711.0%
 
6885819.9%
 
7885529.9%
 
8839949.4%
 
9821349.2%
 
1017385519.5%
 
ValueCountFrequency (%) 
1181690.9%
 
1017385519.5%
 
9821349.2%
 
8839949.4%
 
7885529.9%
 
6885819.9%
 
59777711.0%
 
4866009.7%
 
3696347.8%
 
2599166.7%
 

W_KEIT_KIND_HH
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.45480975
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:49.416466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.769239785
Coefficient of variation (CV)0.3971527145
Kurtosis-0.9517326172
Mean4.45480975
Median Absolute Deviation (MAD)1
Skewness-0.6925301488
Sum3970220
Variance3.130209415
MonotocityNot monotonic
2020-12-02T12:22:49.499478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
642995448.2%
 
412867514.4%
 
310017011.2%
 
2840009.4%
 
1837069.4%
 
5647167.3%
 
ValueCountFrequency (%) 
1837069.4%
 
2840009.4%
 
310017011.2%
 
412867514.4%
 
5647167.3%
 
642995448.2%
 
ValueCountFrequency (%) 
642995448.2%
 
5647167.3%
 
412867514.4%
 
310017011.2%
 
2840009.4%
 
1837069.4%
 

WOHNDAUER_2008
Real number (ℝ≥0)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.998782569
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:49.580456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.86642594
Coefficient of variation (CV)0.2333387517
Kurtosis1.67209619
Mean7.998782569
Median Absolute Deviation (MAD)0
Skewness-1.754422954
Sum7128683
Variance3.48354579
MonotocityNot monotonic
2020-12-02T12:22:49.664422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
962467570.1%
 
8801189.0%
 
4507365.7%
 
3387674.3%
 
6351703.9%
 
5309593.5%
 
7239392.7%
 
261740.7%
 
16830.1%
 
ValueCountFrequency (%) 
16830.1%
 
261740.7%
 
3387674.3%
 
4507365.7%
 
5309593.5%
 
6351703.9%
 
7239392.7%
 
8801189.0%
 
962467570.1%
 
ValueCountFrequency (%) 
962467570.1%
 
8801189.0%
 
7239392.7%
 
6351703.9%
 
5309593.5%
 
4507365.7%
 
3387674.3%
 
261740.7%
 
16830.1%
 

WOHNLAGE
Real number (ℝ≥0)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.942796456
Minimum0
Maximum8
Zeros6950
Zeros (%)0.8%
Memory size6.8 MiB
2020-12-02T12:22:49.757996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q35
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.87275376
Coefficient of variation (CV)0.4749810904
Kurtosis-0.6015641078
Mean3.942796456
Median Absolute Deviation (MAD)1
Skewness0.6020718986
Sum3513903
Variance3.507206645
MonotocityNot monotonic
2020-12-02T12:22:49.849473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
334286738.5%
 
716931819.0%
 
413597315.3%
 
210037611.3%
 
5743468.3%
 
1439184.9%
 
8174732.0%
 
069500.8%
 
ValueCountFrequency (%) 
069500.8%
 
1439184.9%
 
210037611.3%
 
334286738.5%
 
413597315.3%
 
5743468.3%
 
716931819.0%
 
8174732.0%
 
ValueCountFrequency (%) 
8174732.0%
 
716931819.0%
 
5743468.3%
 
413597315.3%
 
334286738.5%
 
210037611.3%
 
1439184.9%
 
069500.8%
 

ZABEOTYP
Real number (ℝ≥0)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3624376
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:49.940027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.352704299
Coefficient of variation (CV)0.4022987071
Kurtosis-0.2449129835
Mean3.3624376
Median Absolute Deviation (MAD)1
Skewness0.02846326419
Sum2996675
Variance1.82980892
MonotocityNot monotonic
2020-12-02T12:22:50.028003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
336490540.9%
 
421009523.6%
 
112362213.9%
 
5849569.5%
 
6744738.4%
 
2331703.7%
 
ValueCountFrequency (%) 
112362213.9%
 
2331703.7%
 
336490540.9%
 
421009523.6%
 
5849569.5%
 
6744738.4%
 
ValueCountFrequency (%) 
6744738.4%
 
5849569.5%
 
421009523.6%
 
336490540.9%
 
2331703.7%
 
112362213.9%
 

ANREDE_KZ
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size6.8 MiB
2
465305 
1
425916 
ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 
2020-12-02T12:22:50.131026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Overview of Unicode Properties

Unique unicode characters2
Unique unicode categories1 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number891221100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 

Most occurring scripts

ValueCountFrequency (%) 
Common891221100.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII891221100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
246530552.2%
 
142591647.8%
 

ALTERSKATEGORIE_GROB
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.777397525
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:50.219546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.068774768
Coefficient of variation (CV)0.3848115937
Kurtosis2.430415046
Mean2.777397525
Median Absolute Deviation (MAD)1
Skewness0.2196377488
Sum2475275
Variance1.142279505
MonotocityNot monotonic
2020-12-02T12:22:50.301881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
335853340.2%
 
422851025.6%
 
215841017.8%
 
114288716.0%
 
928810.3%
 
ValueCountFrequency (%) 
114288716.0%
 
215841017.8%
 
335853340.2%
 
422851025.6%
 
928810.3%
 
ValueCountFrequency (%) 
928810.3%
 
422851025.6%
 
335853340.2%
 
215841017.8%
 
114288716.0%
 

EINGEFUEGT_AM_YEAR
Real number (ℝ≥0)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1993.583687
Minimum1991
Maximum2016
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:50.404649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1992
Q11992
median1992
Q31992
95-th percentile2004
Maximum2016
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.900810874
Coefficient of variation (CV)0.001956682782
Kurtosis9.446620386
Mean1993.583687
Median Absolute Deviation (MAD)0
Skewness3.076617046
Sum1776723647
Variance15.21632548
MonotocityNot monotonic
2020-12-02T12:22:50.511882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
199267201975.4%
 
1995425914.8%
 
1996297653.3%
 
1994289053.2%
 
1993241602.7%
 
1997197082.2%
 
2005142541.6%
 
2003102461.1%
 
200463550.7%
 
200059410.7%
 
200655050.6%
 
200737400.4%
 
199834590.4%
 
200833240.4%
 
200231690.4%
 
200931250.4%
 
201229770.3%
 
201126180.3%
 
201320740.2%
 
201017270.2%
 
200116520.2%
 
201414660.2%
 
201511440.1%
 
199910620.1%
 
2016232< 0.1%
 
ValueCountFrequency (%) 
19913< 0.1%
 
199267201975.4%
 
1993241602.7%
 
1994289053.2%
 
1995425914.8%
 
1996297653.3%
 
1997197082.2%
 
199834590.4%
 
199910620.1%
 
200059410.7%
 
ValueCountFrequency (%) 
2016232< 0.1%
 
201511440.1%
 
201414660.2%
 
201320740.2%
 
201229770.3%
 
201126180.3%
 
201017270.2%
 
200931250.4%
 
200833240.4%
 
200737400.4%
 

EINGEFUEGT_AM_MONTH
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.033534892
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Memory size6.8 MiB
2020-12-02T12:22:50.613745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile10
Maximum12
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.531981373
Coefficient of variation (CV)0.8346636722
Kurtosis4.314187532
Mean3.033534892
Median Absolute Deviation (MAD)0
Skewness2.370141499
Sum2703550
Variance6.410929672
MonotocityNot monotonic
2020-12-02T12:22:50.700017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
270366779.0%
 
3258422.9%
 
9199882.2%
 
4196952.2%
 
12178652.0%
 
8176882.0%
 
11174102.0%
 
10173321.9%
 
5143761.6%
 
1140731.6%
 
7136411.5%
 
696441.1%
 
ValueCountFrequency (%) 
1140731.6%
 
270366779.0%
 
3258422.9%
 
4196952.2%
 
5143761.6%
 
696441.1%
 
7136411.5%
 
8176882.0%
 
9199882.2%
 
10173321.9%
 
ValueCountFrequency (%) 
12178652.0%
 
11174102.0%
 
10173321.9%
 
9199882.2%
 
8176882.0%
 
7136411.5%
 
696441.1%
 
5143761.6%
 
4196952.2%
 
3258422.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
880371 
1
 
10850
ValueCountFrequency (%) 
088037198.8%
 
1108501.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
887150 
1
 
4071
ValueCountFrequency (%) 
088715099.5%
 
140710.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
886904 
1
 
4317
ValueCountFrequency (%) 
088690499.5%
 
143170.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
879312 
1
 
11909
ValueCountFrequency (%) 
087931298.7%
 
1119091.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
886156 
1
 
5065
ValueCountFrequency (%) 
088615699.4%
 
150650.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
877972 
1
 
13249
ValueCountFrequency (%) 
087797298.5%
 
1132491.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
875735 
1
 
15486
ValueCountFrequency (%) 
087573598.3%
 
1154861.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
871799 
1
 
19422
ValueCountFrequency (%) 
087179997.8%
 
1194222.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
856147 
1
 
35074
ValueCountFrequency (%) 
085614796.1%
 
1350743.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
880678 
1
 
10543
ValueCountFrequency (%) 
088067898.8%
 
1105431.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
884061 
1
 
7160
ValueCountFrequency (%) 
088406199.2%
 
171600.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
856452 
1
 
34769
ValueCountFrequency (%) 
085645296.1%
 
1347693.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
856914 
1
 
34307
ValueCountFrequency (%) 
085691496.2%
 
1343073.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
858066 
1
 
33155
ValueCountFrequency (%) 
085806696.3%
 
1331553.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
882174 
1
 
9047
ValueCountFrequency (%) 
088217499.0%
 
190471.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
843402 
1
 
47819
ValueCountFrequency (%) 
084340294.6%
 
1478195.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
882651 
1
 
8570
ValueCountFrequency (%) 
088265199.0%
 
185701.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
885900 
1
 
5321
ValueCountFrequency (%) 
088590099.4%
 
153210.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
879007 
1
 
12214
ValueCountFrequency (%) 
087900798.6%
 
1122141.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
880867 
1
 
10354
ValueCountFrequency (%) 
088086798.8%
 
1103541.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
881286 
1
 
9935
ValueCountFrequency (%) 
088128698.9%
 
199351.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
876278 
1
 
14943
ValueCountFrequency (%) 
087627898.3%
 
1149431.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
887640 
1
 
3581
ValueCountFrequency (%) 
088764099.6%
 
135810.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
886938 
1
 
4283
ValueCountFrequency (%) 
088693899.5%
 
142830.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
884411 
1
 
6810
ValueCountFrequency (%) 
088441199.2%
 
168100.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
834549 
1
 
56672
ValueCountFrequency (%) 
083454993.6%
 
1566726.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
876401 
1
 
14820
ValueCountFrequency (%) 
087640198.3%
 
1148201.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
885148 
1
 
6073
ValueCountFrequency (%) 
088514899.3%
 
160730.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
875114 
1
 
16107
ValueCountFrequency (%) 
087511498.2%
 
1161071.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
885829 
1
 
5392
ValueCountFrequency (%) 
088582999.4%
 
153920.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
856822 
1
 
34399
ValueCountFrequency (%) 
085682296.1%
 
1343993.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
866718 
1
 
24503
ValueCountFrequency (%) 
086671897.3%
 
1245032.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
882156 
1
 
9065
ValueCountFrequency (%) 
088215699.0%
 
190651.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
885888 
1
 
5333
ValueCountFrequency (%) 
088588899.4%
 
153330.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
886588 
1
 
4633
ValueCountFrequency (%) 
088658899.5%
 
146330.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
838783 
1
 
52438
ValueCountFrequency (%) 
083878394.1%
 
1524385.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
857787 
1
 
33434
ValueCountFrequency (%) 
085778796.2%
 
1334343.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
860228 
1
 
30993
ValueCountFrequency (%) 
086022896.5%
 
1309933.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
873645 
1
 
17576
ValueCountFrequency (%) 
087364598.0%
 
1175762.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
870679 
1
 
20542
ValueCountFrequency (%) 
087067997.7%
 
1205422.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
863545 
1
 
27676
ValueCountFrequency (%) 
086354596.9%
 
1276763.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
866234 
1
 
24987
ValueCountFrequency (%) 
086623497.2%
 
1249872.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
862628 
1
 
28593
ValueCountFrequency (%) 
086262896.8%
 
1285933.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
884842 
1
 
6379
ValueCountFrequency (%) 
088484299.3%
 
163790.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
890848 
1
 
373
ValueCountFrequency (%) 
0890848> 99.9%
 
1373< 0.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
867948 
1
 
23273
ValueCountFrequency (%) 
086794897.4%
 
1232732.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
880671 
1
 
10550
ValueCountFrequency (%) 
088067198.8%
 
1105501.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
889779 
1
 
1442
ValueCountFrequency (%) 
088977999.8%
 
114420.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
885974 
1
 
5247
ValueCountFrequency (%) 
088597499.4%
 
152470.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
880949 
1
 
10272
ValueCountFrequency (%) 
088094998.8%
 
1102721.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
869425 
1
 
21796
ValueCountFrequency (%) 
086942597.6%
 
1217962.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
890241 
1
 
980
ValueCountFrequency (%) 
089024199.9%
 
19800.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
889989 
1
 
1232
ValueCountFrequency (%) 
088998999.9%
 
112320.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
862467 
1
 
28754
ValueCountFrequency (%) 
086246796.8%
 
1287543.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
887644 
1
 
3577
ValueCountFrequency (%) 
088764499.6%
 
135770.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
867149 
1
 
24072
ValueCountFrequency (%) 
086714997.3%
 
1240722.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
879137 
1
 
12084
ValueCountFrequency (%) 
087913798.6%
 
1120841.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
883964 
1
 
7257
ValueCountFrequency (%) 
088396499.2%
 
172570.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
889575 
1
 
1646
ValueCountFrequency (%) 
088957599.8%
 
116460.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
888994 
1
 
2227
ValueCountFrequency (%) 
088899499.8%
 
122270.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
870363 
1
 
20858
ValueCountFrequency (%) 
087036397.7%
 
1208582.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
883920 
1
 
7301
ValueCountFrequency (%) 
088392099.2%
 
173010.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
890416 
1
 
805
ValueCountFrequency (%) 
089041699.9%
 
18050.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
884763 
1
 
6458
ValueCountFrequency (%) 
088476399.3%
 
164580.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
890382 
1
 
839
ValueCountFrequency (%) 
089038299.9%
 
18390.1%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
887160 
1
 
4061
ValueCountFrequency (%) 
088716099.5%
 
140610.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
886290 
1
 
4931
ValueCountFrequency (%) 
088629099.4%
 
149310.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
888099 
1
 
3122
ValueCountFrequency (%) 
088809999.6%
 
131220.4%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
888778 
1
 
2443
ValueCountFrequency (%) 
088877899.7%
 
124430.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
858643 
1
 
32578
ValueCountFrequency (%) 
085864396.3%
 
1325783.7%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
846499 
1
 
44722
ValueCountFrequency (%) 
084649995.0%
 
1447225.0%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
884219 
1
 
7002
ValueCountFrequency (%) 
088421999.2%
 
170020.8%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
876774 
1
 
14447
ValueCountFrequency (%) 
087677498.4%
 
1144471.6%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
879749 
1
 
11472
ValueCountFrequency (%) 
087974998.7%
 
1114721.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
888643 
1
 
2578
ValueCountFrequency (%) 
088864399.7%
 
125780.3%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
695883 
1
195338 
ValueCountFrequency (%) 
069588378.1%
 
119533821.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
865187 
1
 
26034
ValueCountFrequency (%) 
086518797.1%
 
1260342.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
833487 
1
 
57734
ValueCountFrequency (%) 
083348793.5%
 
1577346.5%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
856409 
1
 
34812
ValueCountFrequency (%) 
085640996.1%
 
1348123.9%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
889057 
1
 
2164
ValueCountFrequency (%) 
088905799.8%
 
121640.2%
 
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size870.5 KiB
0
722676 
1
168545 
ValueCountFrequency (%) 
072267681.1%
 
116854518.9%